{smcl}
{txt}{sf}{ul off}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\scharpf\Dropbox\ArgentinaWorldCup\replication\replicationfiles\ScharpfGlaesselEdwards_APSR.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}29 Jun 2022, 10:05:30
{txt}
{com}. 
.         
.         
. ********************************************************************************
. *
. * Loading main replication dataset
. *
. ********************************************************************************
. 
.         *Loading replication dataset
.         use "$path\main_data.dta"
{txt}
{com}. 
. 
. ********************************************************************************
. *
. * Summary statistics 
. *
. ********************************************************************************        
.         
.         ****************************************************************************
.         *Table SI.3.1.: Summary statistics (Main analyses)
.         ****************************************************************************    
. 
.         #delimit ;
{txt}delimiter now ;
{com}.         sum 
>                 repression 
>                 lnrepression 
>                 dumrepression   
>                 hostcity 
>                 prox_hotelonly
>                 prox_hotelpress 
>                 time 
>                 time2 
>                 time3 
>                 lnpop_1970 
>                 literacy_avg 
>                 vote_frejuli 
>                 lnrebact1974 
>                 lnrepression70_77 
>                 latitude
>                 lnstrikes
>                 lnlag_strikes
>                 lnlag2_strikes  
>                 zone1-zone5
>         if time!=.
>         ;

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 2}repression {c |}{res}     58,107    .0050424    .1039212          0          7
{txt}lnrepression {c |}{res}     58,107      .00291    .0527878          0   2.079442
{txt}dumrepress~n {c |}{res}     58,107    .0033903     .058128          0          1
{txt}{space 4}hostcity {c |}{res}     58,383      .01002    .0995982          0          1
{txt}prox_hotel~y {c |}{res}     58,107    7.000045    1.613191          0   9.398466
{txt}{hline 13}{c +}{hline 57}
prox_hotel~s {c |}{res}     58,107     7.07865    1.628709          0   9.398466
{txt}{space 8}time {c |}{res}     58,383         .59    .3377405        .01       1.17
{txt}{space 7}time2 {c |}{res}     58,383    .4621667     .411383      .0001     1.3689
{txt}{space 7}time3 {c |}{res}     58,383     .407277    .4600402   1.00e-06   1.601613
{txt}{space 2}lnpop_1970 {c |}{res}     56,628    9.701179    1.336451   6.056784    14.9049
{txt}{hline 13}{c +}{hline 57}
literacy_avg {c |}{res}     56,628    .7170733    .1103444   .3157895   .9005525
{txt}vote_frejuli {c |}{res}     57,447    58.75214    11.53878       28.5       94.3
{txt}lnrebact1974 {c |}{res}     58,383    1.937065     2.06892          0   5.036952
{txt}lnrepress~77 {c |}{res}     58,383    .9082217     1.43434          0   7.557473
{txt}{space 4}latitude {c |}{res}     58,383   -32.37824    5.459773  -54.74886  -22.12871
{txt}{hline 13}{c +}{hline 57}
{space 3}lnstrikes {c |}{res}     58,383    .0098833    .1020078          0   2.079442
{txt}lnlag_stri~s {c |}{res}     58,383     .009246    .0999523          0   2.079442
{txt}lnlag2_str~s {c |}{res}     58,383    .0086385    .0978896          0   2.079442
{txt}{space 7}zone1 {c |}{res}     58,383     .246493    .4309726          0          1
{txt}{space 7}zone2 {c |}{res}     58,383    .2204409    .4145475          0          1
{txt}{hline 13}{c +}{hline 57}
{space 7}zone3 {c |}{res}     58,383    .3787575    .4850817          0          1
{txt}{space 7}zone4 {c |}{res}     58,383    .0200401    .1401385          0          1
{txt}{space 7}zone5 {c |}{res}     58,383    .1342685    .3409435          0          1
{txt}
{com}.         #delimit cr
{txt}delimiter now cr
{com}.         
.         
.         ****************************************************************************
.         *Table SI.3.2.: Summary statistics (Post-World Cup period)
.         ****************************************************************************            
.         
.         #delimit ;
{txt}delimiter now ;
{com}.         sum 
>                 repression 
>                 lnrepression 
>                 hostcity 
>                 postwc_time3mdum
>                 time_postwc 
>                 time2_postwc 
>                 time3_postwc    
>                 lnpop_1970 
>                 vote_frejuli 
>                 literacy_avg 
>                 lnrebact1974 
>                 lnrepression70_77 
>                 zone1-zone5
>         if
>         postwc_time3mdum!=.
>         ;

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 2}repression {c |}{res}     58,321     .003858    .0962368          0          9
{txt}lnrepression {c |}{res}     58,321    .0021415    .0467259          0   2.302585
{txt}{space 4}hostcity {c |}{res}     58,383      .01002    .0995982          0          1
{txt}postwc_tim~m {c |}{res}     58,383    .7863248    .4099036          0          1
{txt}{space 1}time_postwc {c |}{res}     58,383         .59    .3377405        .01       1.17
{txt}{hline 13}{c +}{hline 57}
time2_postwc {c |}{res}     58,383    .4621667     .411383      .0001     1.3689
{txt}time3_postwc {c |}{res}     58,383     .407277    .4600402   1.00e-06   1.601613
{txt}{space 2}lnpop_1970 {c |}{res}     56,628    9.701179    1.336451   6.056784    14.9049
{txt}vote_frejuli {c |}{res}     57,447    58.75214    11.53878       28.5       94.3
{txt}literacy_avg {c |}{res}     56,628    .7170733    .1103444   .3157895   .9005525
{txt}{hline 13}{c +}{hline 57}
lnrebact1974 {c |}{res}     58,383    1.937065     2.06892          0   5.036952
{txt}lnrepress~77 {c |}{res}     58,383    .9082217     1.43434          0   7.557473
{txt}{space 7}zone1 {c |}{res}     58,383     .246493    .4309726          0          1
{txt}{space 7}zone2 {c |}{res}     58,383    .2204409    .4145475          0          1
{txt}{space 7}zone3 {c |}{res}     58,383    .3787575    .4850817          0          1
{txt}{hline 13}{c +}{hline 57}
{space 7}zone4 {c |}{res}     58,383    .0200401    .1401385          0          1
{txt}{space 7}zone5 {c |}{res}     58,383    .1342685    .3409435          0          1
{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.         
.         
.         
. ********************************************************************************
. *
. * Statistical analysis 
. *
. ********************************************************************************
. 
. 
.         ****************************************************************************
.         *Table 1: Repression in departments with and without host cities
.         ****************************************************************************
. 
.         *Model 1
.         nbreg repression hostcitytime hostcitytime2 hostcity time time2, robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-10966.283}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-8676.6588}  (not concave)
Iteration 2:{space 3}log pseudolikelihood = {res:-7319.4923}  
Iteration 3:{space 3}log pseudolikelihood = {res:-5325.9965}  (backed up)
Iteration 4:{space 3}log pseudolikelihood = {res:-4854.9358}  (backed up)
Iteration 5:{space 3}log pseudolikelihood = {res:-3610.9725}  (backed up)
Iteration 6:{space 3}log pseudolikelihood = {res:-2648.4515}  
Iteration 7:{space 3}log pseudolikelihood = {res:-2092.8348}  
Iteration 8:{space 3}log pseudolikelihood = {res: -1605.294}  
Iteration 9:{space 3}log pseudolikelihood = {res:-1580.2701}  
Iteration 10:{space 2}log pseudolikelihood = {res:-1579.1818}  
Iteration 11:{space 2}log pseudolikelihood = {res:-1579.1787}  
Iteration 12:{space 2}log pseudolikelihood = {res:-1579.1787}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -1843.669}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1500.2738}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1499.8186}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1499.8185}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1499.8185}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1432.3559}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1424.6998}  
Iteration 2:{space 3}log pseudolikelihood = {res: -1380.683}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1375.6896}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1375.6326}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1375.6325}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}    58,107
{txt}{col 49}Wald chi2({res}5{txt}){col 67}= {res}    609.55
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1375.6325{txt}{col 49}Pseudo R2{col 67}= {res}    0.0828

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}   repression{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}hostcitytime {c |}{col 15}{res}{space 2} 7.138495{col 27}{space 2} 2.034637{col 38}{space 1}    3.51{col 47}{space 3}0.000{col 55}{space 4} 3.150679{col 68}{space 3} 11.12631
{txt}hostcitytime2 {c |}{col 15}{res}{space 2}-5.879778{col 27}{space 2} 1.709455{col 38}{space 1}   -3.44{col 47}{space 3}0.001{col 55}{space 4}-9.230247{col 68}{space 3}-2.529308
{txt}{space 5}hostcity {c |}{col 15}{res}{space 2} 2.610162{col 27}{space 2} .5093205{col 38}{space 1}    5.12{col 47}{space 3}0.000{col 55}{space 4} 1.611912{col 68}{space 3} 3.608412
{txt}{space 9}time {c |}{col 15}{res}{space 2}-1.816222{col 27}{space 2} 1.188945{col 38}{space 1}   -1.53{col 47}{space 3}0.127{col 55}{space 4} -4.14651{col 68}{space 3} .5140674
{txt}{space 8}time2 {c |}{col 15}{res}{space 2} 1.325502{col 27}{space 2} .9500755{col 38}{space 1}    1.40{col 47}{space 3}0.163{col 55}{space 4}-.5366118{col 68}{space 3} 3.187616
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-5.344085{col 27}{space 2} .3044403{col 38}{space 1}  -17.55{col 47}{space 3}0.000{col 55}{space 4}-5.940777{col 68}{space 3}-4.747393
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}/lnalpha {c |}{col 15}{res}{space 2}  3.61739{col 27}{space 2} .4242605{col 55}{space 4} 2.785855{col 68}{space 3} 4.448925
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
        alpha {c |}{col 15}{res}{space 2} 37.24025{col 27}{space 2} 15.79956{col 55}{space 4} 16.21367{col 68}{space 3} 85.53497
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         
.         *Model 2
.         nbreg repression hostcitytime hostcitytime2 hostcity time time2 lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77, robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-9838.8739}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-5227.2134}  
Iteration 2:{space 3}log pseudolikelihood = {res:-4468.9444}  (backed up)
Iteration 3:{space 3}log pseudolikelihood = {res:-4095.0377}  (backed up)
Iteration 4:{space 3}log pseudolikelihood = {res:-2983.5603}  
Iteration 5:{space 3}log pseudolikelihood = {res: -2581.443}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1252.6435}  
Iteration 7:{space 3}log pseudolikelihood = {res:-1146.1466}  
Iteration 8:{space 3}log pseudolikelihood = {res:-1123.0218}  
Iteration 9:{space 3}log pseudolikelihood = {res:-1122.7611}  
Iteration 10:{space 2}log pseudolikelihood = {res:-1122.7608}  
Iteration 11:{space 2}log pseudolikelihood = {res:-1122.7608}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -1829.657}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1488.4935}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1487.9062}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1487.9059}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1487.9059}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1388.7954}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1278.9073}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1038.5836}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1028.6705}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1027.8088}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1027.8076}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1027.8076}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}    56,394
{txt}{col 49}Wald chi2({res}10{txt}){col 67}= {res}    547.17
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1027.8076{txt}{col 49}Pseudo R2{col 67}= {res}    0.3092

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}       repression{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}hostcitytime {c |}{col 19}{res}{space 2} 7.556369{col 31}{space 2} 1.997993{col 42}{space 1}    3.78{col 51}{space 3}0.000{col 59}{space 4} 3.640374{col 72}{space 3} 11.47236
{txt}{space 4}hostcitytime2 {c |}{col 19}{res}{space 2}-6.164736{col 31}{space 2} 1.577286{col 42}{space 1}   -3.91{col 51}{space 3}0.000{col 59}{space 4} -9.25616{col 72}{space 3}-3.073313
{txt}{space 9}hostcity {c |}{col 19}{res}{space 2} -1.51123{col 31}{space 2} .6152153{col 42}{space 1}   -2.46{col 51}{space 3}0.014{col 59}{space 4} -2.71703{col 72}{space 3}-.3054305
{txt}{space 13}time {c |}{col 19}{res}{space 2}-1.935338{col 31}{space 2} 1.214859{col 42}{space 1}   -1.59{col 51}{space 3}0.111{col 59}{space 4}-4.316418{col 72}{space 3} .4457406
{txt}{space 12}time2 {c |}{col 19}{res}{space 2} 1.376899{col 31}{space 2} .9612567{col 42}{space 1}    1.43{col 51}{space 3}0.152{col 59}{space 4}-.5071296{col 72}{space 3} 3.260927
{txt}{space 7}lnpop_1970 {c |}{col 19}{res}{space 2} .3802286{col 31}{space 2} .2670062{col 42}{space 1}    1.42{col 51}{space 3}0.154{col 59}{space 4} -.143094{col 72}{space 3} .9035512
{txt}{space 5}vote_frejuli {c |}{col 19}{res}{space 2}  .032466{col 31}{space 2} .0135233{col 42}{space 1}    2.40{col 51}{space 3}0.016{col 59}{space 4} .0059609{col 72}{space 3} .0589712
{txt}{space 5}literacy_avg {c |}{col 19}{res}{space 2} 1.821322{col 31}{space 2} 3.661611{col 42}{space 1}    0.50{col 51}{space 3}0.619{col 59}{space 4}-5.355303{col 72}{space 3} 8.997947
{txt}{space 5}lnrebact1974 {c |}{col 19}{res}{space 2} .1070022{col 31}{space 2} .0769816{col 42}{space 1}    1.39{col 51}{space 3}0.165{col 59}{space 4}-.0438791{col 72}{space 3} .2578834
{txt}lnrepression70_77 {c |}{col 19}{res}{space 2} .7555657{col 31}{space 2} .1876784{col 42}{space 1}    4.03{col 51}{space 3}0.000{col 59}{space 4} .3877227{col 72}{space 3} 1.123409
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-15.07722{col 31}{space 2} 3.555425{col 42}{space 1}   -4.24{col 51}{space 3}0.000{col 59}{space 4}-22.04572{col 72}{space 3}-8.108711
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}/lnalpha {c |}{col 19}{res}{space 2} 1.970928{col 31}{space 2} .3144762{col 59}{space 4} 1.354566{col 72}{space 3}  2.58729
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
            alpha {c |}{col 19}{res}{space 2} 7.177336{col 31}{space 2} 2.257102{col 59}{space 4}  3.87508{col 72}{space 3}  13.2937
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.                 
.         *Model 3
.         nbreg repression hostcitytime hostcitytime2 hostcity time time2 lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77 zone2-zone5, robust                 

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-10251.041}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-9430.9581}  (not concave)
Iteration 2:{space 3}log pseudolikelihood = {res:-9336.6485}  (not concave)
Iteration 3:{space 3}log pseudolikelihood = {res:-9039.9324}  (not concave)
Iteration 4:{space 3}log pseudolikelihood = {res:-9011.2582}  (not concave)
Iteration 5:{space 3}log pseudolikelihood = {res:-8839.5593}  (not concave)
Iteration 6:{space 3}log pseudolikelihood = {res:-8621.9901}  (not concave)
Iteration 7:{space 3}log pseudolikelihood = {res:-8014.9415}  (not concave)
Iteration 8:{space 3}log pseudolikelihood = {res:-7694.8192}  (not concave)
Iteration 9:{space 3}log pseudolikelihood = {res:-7026.5236}  (not concave)
Iteration 10:{space 2}log pseudolikelihood = {res:-6810.6932}  (not concave)
Iteration 11:{space 2}log pseudolikelihood = {res:-6051.5859}  (not concave)
Iteration 12:{space 2}log pseudolikelihood = {res:-5581.0987}  (not concave)
Iteration 13:{space 2}log pseudolikelihood = {res: -5152.604}  
Iteration 14:{space 2}log pseudolikelihood = {res:-3471.1387}  (backed up)
Iteration 15:{space 2}log pseudolikelihood = {res:-3425.6215}  (backed up)
Iteration 16:{space 2}log pseudolikelihood = {res:  -2739.29}  
Iteration 17:{space 2}log pseudolikelihood = {res:-2217.3788}  
Iteration 18:{space 2}log pseudolikelihood = {res:-1206.9508}  
Iteration 19:{space 2}log pseudolikelihood = {res:-1117.6689}  
Iteration 20:{space 2}log pseudolikelihood = {res: -1097.297}  
Iteration 21:{space 2}log pseudolikelihood = {res:-1097.0317}  
Iteration 22:{space 2}log pseudolikelihood = {res:-1097.0315}  
Iteration 23:{space 2}log pseudolikelihood = {res:-1097.0315}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -1829.657}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1488.4935}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1487.9062}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1487.9059}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1487.9059}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1379.0592}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res: -1235.671}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1033.9711}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1015.7168}  
Iteration 4:{space 3}log pseudolikelihood = {res: -1011.739}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1011.6981}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1011.6981}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}    56,394
{txt}{col 49}Wald chi2({res}14{txt}){col 67}= {res}    684.70
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1011.6981{txt}{col 49}Pseudo R2{col 67}= {res}    0.3201

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}       repression{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}hostcitytime {c |}{col 19}{res}{space 2} 8.301135{col 31}{space 2} 2.007929{col 42}{space 1}    4.13{col 51}{space 3}0.000{col 59}{space 4} 4.365666{col 72}{space 3}  12.2366
{txt}{space 4}hostcitytime2 {c |}{col 19}{res}{space 2}-6.844269{col 31}{space 2} 1.596641{col 42}{space 1}   -4.29{col 51}{space 3}0.000{col 59}{space 4}-9.973627{col 72}{space 3} -3.71491
{txt}{space 9}hostcity {c |}{col 19}{res}{space 2}-1.434262{col 31}{space 2} .6145877{col 42}{space 1}   -2.33{col 51}{space 3}0.020{col 59}{space 4}-2.638831{col 72}{space 3}-.2296922
{txt}{space 13}time {c |}{col 19}{res}{space 2}-1.928213{col 31}{space 2} 1.211667{col 42}{space 1}   -1.59{col 51}{space 3}0.112{col 59}{space 4}-4.303035{col 72}{space 3} .4466103
{txt}{space 12}time2 {c |}{col 19}{res}{space 2} 1.372503{col 31}{space 2} .9556439{col 42}{space 1}    1.44{col 51}{space 3}0.151{col 59}{space 4}-.5005242{col 72}{space 3} 3.245531
{txt}{space 7}lnpop_1970 {c |}{col 19}{res}{space 2} .3694047{col 31}{space 2} .2504632{col 42}{space 1}    1.47{col 51}{space 3}0.140{col 59}{space 4}-.1214941{col 72}{space 3} .8603036
{txt}{space 5}vote_frejuli {c |}{col 19}{res}{space 2} .0376127{col 31}{space 2} .0133914{col 42}{space 1}    2.81{col 51}{space 3}0.005{col 59}{space 4}  .011366{col 72}{space 3} .0638593
{txt}{space 5}literacy_avg {c |}{col 19}{res}{space 2} 1.154586{col 31}{space 2} 3.335428{col 42}{space 1}    0.35{col 51}{space 3}0.729{col 59}{space 4}-5.382733{col 72}{space 3} 7.691905
{txt}{space 5}lnrebact1974 {c |}{col 19}{res}{space 2}-.0679223{col 31}{space 2} .0702821{col 42}{space 1}   -0.97{col 51}{space 3}0.334{col 59}{space 4}-.2056728{col 72}{space 3} .0698281
{txt}lnrepression70_77 {c |}{col 19}{res}{space 2} .7067854{col 31}{space 2} .1966499{col 42}{space 1}    3.59{col 51}{space 3}0.000{col 59}{space 4} .3213586{col 72}{space 3} 1.092212
{txt}{space 12}zone2 {c |}{col 19}{res}{space 2} -2.09976{col 31}{space 2} .4157572{col 42}{space 1}   -5.05{col 51}{space 3}0.000{col 59}{space 4}-2.914629{col 72}{space 3}-1.284891
{txt}{space 12}zone3 {c |}{col 19}{res}{space 2}-.9578653{col 31}{space 2} .2590564{col 42}{space 1}   -3.70{col 51}{space 3}0.000{col 59}{space 4}-1.465607{col 72}{space 3}-.4501241
{txt}{space 12}zone4 {c |}{col 19}{res}{space 2}-.3881078{col 31}{space 2} .2641826{col 42}{space 1}   -1.47{col 51}{space 3}0.142{col 59}{space 4}-.9058963{col 72}{space 3} .1296806
{txt}{space 12}zone5 {c |}{col 19}{res}{space 2}-.9323005{col 31}{space 2} .4809299{col 42}{space 1}   -1.94{col 51}{space 3}0.053{col 59}{space 4}-1.874906{col 72}{space 3} .0103048
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-13.41226{col 31}{space 2} 3.487143{col 42}{space 1}   -3.85{col 51}{space 3}0.000{col 59}{space 4}-20.24694{col 72}{space 3}-6.577587
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}/lnalpha {c |}{col 19}{res}{space 2} 1.803443{col 31}{space 2} .3053665{col 59}{space 4} 1.204936{col 72}{space 3} 2.401951
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
            alpha {c |}{col 19}{res}{space 2} 6.070515{col 31}{space 2} 1.853732{col 59}{space 4} 3.336546{col 72}{space 3}  11.0447
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
.         *Model 4
.         nbreg repression hostcitytime hostcitytime2 hostcity time time2, cluster(id)

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-10966.283}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-8676.6588}  (not concave)
Iteration 2:{space 3}log pseudolikelihood = {res:-7319.4923}  
Iteration 3:{space 3}log pseudolikelihood = {res:-5325.9965}  (backed up)
Iteration 4:{space 3}log pseudolikelihood = {res:-4854.9358}  (backed up)
Iteration 5:{space 3}log pseudolikelihood = {res:-3610.9725}  (backed up)
Iteration 6:{space 3}log pseudolikelihood = {res:-2648.4515}  
Iteration 7:{space 3}log pseudolikelihood = {res:-2092.8348}  
Iteration 8:{space 3}log pseudolikelihood = {res: -1605.294}  
Iteration 9:{space 3}log pseudolikelihood = {res:-1580.2701}  
Iteration 10:{space 2}log pseudolikelihood = {res:-1579.1818}  
Iteration 11:{space 2}log pseudolikelihood = {res:-1579.1787}  
Iteration 12:{space 2}log pseudolikelihood = {res:-1579.1787}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -1843.669}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1500.2738}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1499.8186}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1499.8185}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1499.8185}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1432.3559}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1424.6998}  
Iteration 2:{space 3}log pseudolikelihood = {res: -1380.683}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1375.6896}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1375.6326}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1375.6325}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}    58,107
{txt}{col 49}Wald chi2({res}5{txt}){col 67}= {res}    988.81
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1375.6325{txt}{col 49}Pseudo R2{col 67}= {res}    0.0828

{txt}{ralign 79:(Std. Err. adjusted for {res:497} clusters in id)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}   repression{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}hostcitytime {c |}{col 15}{res}{space 2} 7.138495{col 27}{space 2} 1.693725{col 38}{space 1}    4.21{col 47}{space 3}0.000{col 55}{space 4} 3.818854{col 68}{space 3} 10.45814
{txt}hostcitytime2 {c |}{col 15}{res}{space 2}-5.879778{col 27}{space 2} 1.522894{col 38}{space 1}   -3.86{col 47}{space 3}0.000{col 55}{space 4}-8.864596{col 68}{space 3}-2.894959
{txt}{space 5}hostcity {c |}{col 15}{res}{space 2} 2.610162{col 27}{space 2} .8819207{col 38}{space 1}    2.96{col 47}{space 3}0.003{col 55}{space 4} .8816291{col 68}{space 3} 4.338695
{txt}{space 9}time {c |}{col 15}{res}{space 2}-1.816222{col 27}{space 2} 1.373857{col 38}{space 1}   -1.32{col 47}{space 3}0.186{col 55}{space 4}-4.508931{col 68}{space 3} .8764878
{txt}{space 8}time2 {c |}{col 15}{res}{space 2} 1.325502{col 27}{space 2} 1.099576{col 38}{space 1}    1.21{col 47}{space 3}0.228{col 55}{space 4}-.8296279{col 68}{space 3} 3.480632
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-5.344085{col 27}{space 2} .4274589{col 38}{space 1}  -12.50{col 47}{space 3}0.000{col 55}{space 4}-6.181889{col 68}{space 3}-4.506281
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}/lnalpha {c |}{col 15}{res}{space 2}  3.61739{col 27}{space 2} 1.505556{col 55}{space 4} .6665546{col 68}{space 3} 6.568226
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
        alpha {c |}{col 15}{res}{space 2} 37.24025{col 27}{space 2} 56.06728{col 55}{space 4} 1.947516{col 68}{space 3} 712.1052
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         
.         *Model 5
.         nbreg repression hostcitytime hostcitytime2 hostcity time time2 lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77, cluster(id)        

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-9838.8739}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-5227.2134}  
Iteration 2:{space 3}log pseudolikelihood = {res:-4468.9444}  (backed up)
Iteration 3:{space 3}log pseudolikelihood = {res:-4095.0377}  (backed up)
Iteration 4:{space 3}log pseudolikelihood = {res:-2983.5603}  
Iteration 5:{space 3}log pseudolikelihood = {res: -2581.443}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1252.6435}  
Iteration 7:{space 3}log pseudolikelihood = {res:-1146.1466}  
Iteration 8:{space 3}log pseudolikelihood = {res:-1123.0218}  
Iteration 9:{space 3}log pseudolikelihood = {res:-1122.7611}  
Iteration 10:{space 2}log pseudolikelihood = {res:-1122.7608}  
Iteration 11:{space 2}log pseudolikelihood = {res:-1122.7608}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -1829.657}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1488.4935}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1487.9062}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1487.9059}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1487.9059}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1388.7954}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1278.9073}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1038.5836}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1028.6705}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1027.8088}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1027.8076}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1027.8076}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}    56,394
{txt}{col 49}Wald chi2({res}10{txt}){col 67}= {res}    508.18
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1027.8076{txt}{col 49}Pseudo R2{col 67}= {res}    0.3092

{txt}{ralign 83:(Std. Err. adjusted for {res:482} clusters in id)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}       repression{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}hostcitytime {c |}{col 19}{res}{space 2} 7.556369{col 31}{space 2} 2.082998{col 42}{space 1}    3.63{col 51}{space 3}0.000{col 59}{space 4} 3.473768{col 72}{space 3} 11.63897
{txt}{space 4}hostcitytime2 {c |}{col 19}{res}{space 2}-6.164736{col 31}{space 2} 1.754135{col 42}{space 1}   -3.51{col 51}{space 3}0.000{col 59}{space 4}-9.602779{col 72}{space 3}-2.726694
{txt}{space 9}hostcity {c |}{col 19}{res}{space 2} -1.51123{col 31}{space 2}  .761543{col 42}{space 1}   -1.98{col 51}{space 3}0.047{col 59}{space 4}-3.003827{col 72}{space 3}-.0186334
{txt}{space 13}time {c |}{col 19}{res}{space 2}-1.935338{col 31}{space 2} 1.588971{col 42}{space 1}   -1.22{col 51}{space 3}0.223{col 59}{space 4}-5.049665{col 72}{space 3} 1.178988
{txt}{space 12}time2 {c |}{col 19}{res}{space 2} 1.376899{col 31}{space 2} 1.218772{col 42}{space 1}    1.13{col 51}{space 3}0.259{col 59}{space 4} -1.01185{col 72}{space 3} 3.765647
{txt}{space 7}lnpop_1970 {c |}{col 19}{res}{space 2} .3802286{col 31}{space 2} .4246708{col 42}{space 1}    0.90{col 51}{space 3}0.371{col 59}{space 4}-.4521108{col 72}{space 3} 1.212568
{txt}{space 5}vote_frejuli {c |}{col 19}{res}{space 2}  .032466{col 31}{space 2} .0199364{col 42}{space 1}    1.63{col 51}{space 3}0.103{col 59}{space 4}-.0066085{col 72}{space 3} .0715406
{txt}{space 5}literacy_avg {c |}{col 19}{res}{space 2} 1.821322{col 31}{space 2} 4.677976{col 42}{space 1}    0.39{col 51}{space 3}0.697{col 59}{space 4}-7.347343{col 72}{space 3} 10.98999
{txt}{space 5}lnrebact1974 {c |}{col 19}{res}{space 2} .1070022{col 31}{space 2} .0952958{col 42}{space 1}    1.12{col 51}{space 3}0.262{col 59}{space 4}-.0797742{col 72}{space 3} .2937786
{txt}lnrepression70_77 {c |}{col 19}{res}{space 2} .7555657{col 31}{space 2} .2971725{col 42}{space 1}    2.54{col 51}{space 3}0.011{col 59}{space 4} .1731183{col 72}{space 3} 1.338013
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-15.07722{col 31}{space 2} 5.319804{col 42}{space 1}   -2.83{col 51}{space 3}0.005{col 59}{space 4}-25.50384{col 72}{space 3}-4.650592
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}/lnalpha {c |}{col 19}{res}{space 2} 1.970928{col 31}{space 2}  .859722{col 59}{space 4} .2859042{col 72}{space 3} 3.655952
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
            alpha {c |}{col 19}{res}{space 2} 7.177336{col 31}{space 2} 6.170514{col 59}{space 4} 1.330965{col 72}{space 3} 38.70437
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         
.         *Model 6
.         nbreg repression hostcitytime hostcitytime2 hostcity time time2 lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77 zone2-zone5, cluster(id)

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-10251.041}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-9430.9581}  (not concave)
Iteration 2:{space 3}log pseudolikelihood = {res:-9336.6485}  (not concave)
Iteration 3:{space 3}log pseudolikelihood = {res:-9039.9324}  (not concave)
Iteration 4:{space 3}log pseudolikelihood = {res:-9011.2582}  (not concave)
Iteration 5:{space 3}log pseudolikelihood = {res:-8839.5593}  (not concave)
Iteration 6:{space 3}log pseudolikelihood = {res:-8621.9901}  (not concave)
Iteration 7:{space 3}log pseudolikelihood = {res:-8014.9415}  (not concave)
Iteration 8:{space 3}log pseudolikelihood = {res:-7694.8192}  (not concave)
Iteration 9:{space 3}log pseudolikelihood = {res:-7026.5236}  (not concave)
Iteration 10:{space 2}log pseudolikelihood = {res:-6810.6932}  (not concave)
Iteration 11:{space 2}log pseudolikelihood = {res:-6051.5859}  (not concave)
Iteration 12:{space 2}log pseudolikelihood = {res:-5581.0987}  (not concave)
Iteration 13:{space 2}log pseudolikelihood = {res: -5152.604}  
Iteration 14:{space 2}log pseudolikelihood = {res:-3471.1387}  (backed up)
Iteration 15:{space 2}log pseudolikelihood = {res:-3425.6215}  (backed up)
Iteration 16:{space 2}log pseudolikelihood = {res:  -2739.29}  
Iteration 17:{space 2}log pseudolikelihood = {res:-2217.3788}  
Iteration 18:{space 2}log pseudolikelihood = {res:-1206.9508}  
Iteration 19:{space 2}log pseudolikelihood = {res:-1117.6689}  
Iteration 20:{space 2}log pseudolikelihood = {res: -1097.297}  
Iteration 21:{space 2}log pseudolikelihood = {res:-1097.0317}  
Iteration 22:{space 2}log pseudolikelihood = {res:-1097.0315}  
Iteration 23:{space 2}log pseudolikelihood = {res:-1097.0315}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -1829.657}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1488.4935}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1487.9062}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1487.9059}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1487.9059}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1379.0592}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res: -1235.671}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1033.9711}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1015.7168}  
Iteration 4:{space 3}log pseudolikelihood = {res: -1011.739}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1011.6981}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1011.6981}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}    56,394
{txt}{col 49}Wald chi2({res}14{txt}){col 67}= {res}    663.09
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1011.6981{txt}{col 49}Pseudo R2{col 67}= {res}    0.3201

{txt}{ralign 83:(Std. Err. adjusted for {res:482} clusters in id)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}       repression{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}hostcitytime {c |}{col 19}{res}{space 2} 8.301135{col 31}{space 2} 2.481886{col 42}{space 1}    3.34{col 51}{space 3}0.001{col 59}{space 4} 3.436728{col 72}{space 3} 13.16554
{txt}{space 4}hostcitytime2 {c |}{col 19}{res}{space 2}-6.844269{col 31}{space 2} 2.133962{col 42}{space 1}   -3.21{col 51}{space 3}0.001{col 59}{space 4}-11.02676{col 72}{space 3} -2.66178
{txt}{space 9}hostcity {c |}{col 19}{res}{space 2}-1.434262{col 31}{space 2} .6476328{col 42}{space 1}   -2.21{col 51}{space 3}0.027{col 59}{space 4}-2.703599{col 72}{space 3}-.1649249
{txt}{space 13}time {c |}{col 19}{res}{space 2}-1.928213{col 31}{space 2} 1.589589{col 42}{space 1}   -1.21{col 51}{space 3}0.225{col 59}{space 4} -5.04375{col 72}{space 3} 1.187325
{txt}{space 12}time2 {c |}{col 19}{res}{space 2} 1.372503{col 31}{space 2} 1.215168{col 42}{space 1}    1.13{col 51}{space 3}0.259{col 59}{space 4}-1.009182{col 72}{space 3} 3.754189
{txt}{space 7}lnpop_1970 {c |}{col 19}{res}{space 2} .3694047{col 31}{space 2} .3911046{col 42}{space 1}    0.94{col 51}{space 3}0.345{col 59}{space 4}-.3971463{col 72}{space 3} 1.135956
{txt}{space 5}vote_frejuli {c |}{col 19}{res}{space 2} .0376127{col 31}{space 2} .0162614{col 42}{space 1}    2.31{col 51}{space 3}0.021{col 59}{space 4} .0057409{col 72}{space 3} .0694845
{txt}{space 5}literacy_avg {c |}{col 19}{res}{space 2} 1.154586{col 31}{space 2} 4.202322{col 42}{space 1}    0.27{col 51}{space 3}0.784{col 59}{space 4}-7.081815{col 72}{space 3} 9.390987
{txt}{space 5}lnrebact1974 {c |}{col 19}{res}{space 2}-.0679223{col 31}{space 2} .0865031{col 42}{space 1}   -0.79{col 51}{space 3}0.432{col 59}{space 4}-.2374653{col 72}{space 3} .1016207
{txt}lnrepression70_77 {c |}{col 19}{res}{space 2} .7067854{col 31}{space 2} .3025701{col 42}{space 1}    2.34{col 51}{space 3}0.019{col 59}{space 4} .1137589{col 72}{space 3} 1.299812
{txt}{space 12}zone2 {c |}{col 19}{res}{space 2} -2.09976{col 31}{space 2} .3935913{col 42}{space 1}   -5.33{col 51}{space 3}0.000{col 59}{space 4}-2.871185{col 72}{space 3}-1.328335
{txt}{space 12}zone3 {c |}{col 19}{res}{space 2}-.9578653{col 31}{space 2} .4341722{col 42}{space 1}   -2.21{col 51}{space 3}0.027{col 59}{space 4}-1.808827{col 72}{space 3}-.1069034
{txt}{space 12}zone4 {c |}{col 19}{res}{space 2}-.3881078{col 31}{space 2} .2294959{col 42}{space 1}   -1.69{col 51}{space 3}0.091{col 59}{space 4}-.8379115{col 72}{space 3} .0616958
{txt}{space 12}zone5 {c |}{col 19}{res}{space 2}-.9323005{col 31}{space 2} .6986461{col 42}{space 1}   -1.33{col 51}{space 3}0.182{col 59}{space 4}-2.301622{col 72}{space 3} .4370208
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-13.41226{col 31}{space 2} 4.979395{col 42}{space 1}   -2.69{col 51}{space 3}0.007{col 59}{space 4} -23.1717{col 72}{space 3}-3.652827
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}/lnalpha {c |}{col 19}{res}{space 2} 1.803443{col 31}{space 2} .8392006{col 59}{space 4} .1586404{col 72}{space 3} 3.448246
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
            alpha {c |}{col 19}{res}{space 2} 6.070515{col 31}{space 2}  5.09438{col 59}{space 4} 1.171916{col 72}{space 3}  31.4452
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         
.         
.         
.         ****************************************************************************
.         *Table SI.4.1: Linear regressions (OLS) for repression in departments with and without host cities
.         ****************************************************************************    
.         
.         *Model 1
.         reg lnrepression hostcitytime hostcitytime2 hostcity time time2, robust

{txt}Linear regression                               Number of obs     = {res}    58,107
                                                {txt}F(5, 58101)       =  {res}    13.90
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0455
                                                {txt}Root MSE          =    {res} .05157

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1} lnrepression{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}hostcitytime {c |}{col 15}{res}{space 2} .4012396{col 27}{space 2} .1443504{col 38}{space 1}    2.78{col 47}{space 3}0.005{col 55}{space 4} .1183121{col 68}{space 3} .6841672
{txt}hostcitytime2 {c |}{col 15}{res}{space 2}-.3229575{col 27}{space 2} .1104887{col 38}{space 1}   -2.92{col 47}{space 3}0.003{col 55}{space 4}-.5395159{col 68}{space 3}-.1063992
{txt}{space 5}hostcity {c |}{col 15}{res}{space 2} .0201865{col 27}{space 2} .0341441{col 38}{space 1}    0.59{col 47}{space 3}0.554{col 55}{space 4} -.046736{col 68}{space 3} .0871091
{txt}{space 9}time {c |}{col 15}{res}{space 2}-.0028412{col 27}{space 2}  .002304{col 38}{space 1}   -1.23{col 47}{space 3}0.218{col 55}{space 4} -.007357{col 68}{space 3} .0016746
{txt}{space 8}time2 {c |}{col 15}{res}{space 2} .0020205{col 27}{space 2} .0017847{col 38}{space 1}    1.13{col 47}{space 3}0.258{col 55}{space 4}-.0014775{col 68}{space 3} .0055185
{txt}{space 8}_cons {c |}{col 15}{res}{space 2} .0025689{col 27}{space 2} .0006379{col 38}{space 1}    4.03{col 47}{space 3}0.000{col 55}{space 4} .0013186{col 68}{space 3} .0038191
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         *Model 2
.         reg lnrepression hostcitytime hostcitytime2 hostcity time time2 lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77, robust     

{txt}Linear regression                               Number of obs     = {res}    56,394
                                                {txt}F(10, 56383)      =  {res}    17.56
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0585
                                                {txt}Root MSE          =    {res} .05192

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}     lnrepression{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}hostcitytime {c |}{col 19}{res}{space 2} .4014449{col 31}{space 2} .1433218{col 42}{space 1}    2.80{col 51}{space 3}0.005{col 59}{space 4} .1205334{col 72}{space 3} .6823565
{txt}{space 4}hostcitytime2 {c |}{col 19}{res}{space 2}-.3231063{col 31}{space 2} .1097107{col 42}{space 1}   -2.95{col 51}{space 3}0.003{col 59}{space 4}  -.53814{col 72}{space 3}-.1080727
{txt}{space 9}hostcity {c |}{col 19}{res}{space 2}-.0036886{col 31}{space 2} .0339542{col 42}{space 1}   -0.11{col 51}{space 3}0.913{col 59}{space 4}-.0702391{col 72}{space 3} .0628618
{txt}{space 13}time {c |}{col 19}{res}{space 2}-.0030465{col 31}{space 2} .0023493{col 42}{space 1}   -1.30{col 51}{space 3}0.195{col 59}{space 4}-.0076512{col 72}{space 3} .0015582
{txt}{space 12}time2 {c |}{col 19}{res}{space 2} .0021693{col 31}{space 2} .0018224{col 42}{space 1}    1.19{col 51}{space 3}0.234{col 59}{space 4}-.0014027{col 72}{space 3} .0057413
{txt}{space 7}lnpop_1970 {c |}{col 19}{res}{space 2} .0009697{col 31}{space 2} .0002097{col 42}{space 1}    4.62{col 51}{space 3}0.000{col 59}{space 4} .0005586{col 72}{space 3} .0013808
{txt}{space 5}vote_frejuli {c |}{col 19}{res}{space 2}-.0000322{col 31}{space 2} .0000186{col 42}{space 1}   -1.73{col 51}{space 3}0.084{col 59}{space 4}-.0000687{col 72}{space 3} 4.34e-06
{txt}{space 5}literacy_avg {c |}{col 19}{res}{space 2}-.0055594{col 31}{space 2} .0010708{col 42}{space 1}   -5.19{col 51}{space 3}0.000{col 59}{space 4}-.0076582{col 72}{space 3}-.0034606
{txt}{space 5}lnrebact1974 {c |}{col 19}{res}{space 2}-.0001207{col 31}{space 2} .0001286{col 42}{space 1}   -0.94{col 51}{space 3}0.348{col 59}{space 4}-.0003727{col 72}{space 3} .0001312
{txt}lnrepression70_77 {c |}{col 19}{res}{space 2} .0040788{col 31}{space 2} .0003771{col 42}{space 1}   10.82{col 51}{space 3}0.000{col 59}{space 4} .0033397{col 72}{space 3} .0048179
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-.0040774{col 31}{space 2} .0019829{col 42}{space 1}   -2.06{col 51}{space 3}0.040{col 59}{space 4}-.0079638{col 72}{space 3}-.0001909
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         *Model 3
.         reg lnrepression hostcitytime hostcitytime2 hostcity time time2 lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77 zone2-zone5, robust  

{txt}Linear regression                               Number of obs     = {res}    56,394
                                                {txt}F(14, 56379)      =  {res}    12.96
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0632
                                                {txt}Root MSE          =    {res} .05179

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}     lnrepression{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}hostcitytime {c |}{col 19}{res}{space 2} .4014449{col 31}{space 2} .1421194{col 42}{space 1}    2.82{col 51}{space 3}0.005{col 59}{space 4} .1228901{col 72}{space 3} .6799998
{txt}{space 4}hostcitytime2 {c |}{col 19}{res}{space 2}-.3231063{col 31}{space 2} .1088257{col 42}{space 1}   -2.97{col 51}{space 3}0.003{col 59}{space 4}-.5364053{col 72}{space 3}-.1098074
{txt}{space 9}hostcity {c |}{col 19}{res}{space 2}-.0040282{col 31}{space 2} .0336285{col 42}{space 1}   -0.12{col 51}{space 3}0.905{col 59}{space 4}-.0699402{col 72}{space 3} .0618839
{txt}{space 13}time {c |}{col 19}{res}{space 2}-.0030465{col 31}{space 2} .0023505{col 42}{space 1}   -1.30{col 51}{space 3}0.195{col 59}{space 4}-.0076534{col 72}{space 3} .0015604
{txt}{space 12}time2 {c |}{col 19}{res}{space 2} .0021693{col 31}{space 2}  .001823{col 42}{space 1}    1.19{col 51}{space 3}0.234{col 59}{space 4}-.0014038{col 72}{space 3} .0057424
{txt}{space 7}lnpop_1970 {c |}{col 19}{res}{space 2}  .003262{col 31}{space 2} .0004137{col 42}{space 1}    7.88{col 51}{space 3}0.000{col 59}{space 4} .0024511{col 72}{space 3}  .004073
{txt}{space 5}vote_frejuli {c |}{col 19}{res}{space 2} .0000105{col 31}{space 2} .0000241{col 42}{space 1}    0.43{col 51}{space 3}0.664{col 59}{space 4}-.0000368{col 72}{space 3} .0000578
{txt}{space 5}literacy_avg {c |}{col 19}{res}{space 2}-.0231255{col 31}{space 2} .0024904{col 42}{space 1}   -9.29{col 51}{space 3}0.000{col 59}{space 4}-.0280066{col 72}{space 3}-.0182443
{txt}{space 5}lnrebact1974 {c |}{col 19}{res}{space 2}-.0013956{col 31}{space 2} .0002055{col 42}{space 1}   -6.79{col 51}{space 3}0.000{col 59}{space 4}-.0017983{col 72}{space 3}-.0009928
{txt}lnrepression70_77 {c |}{col 19}{res}{space 2} .0031634{col 31}{space 2} .0003827{col 42}{space 1}    8.27{col 51}{space 3}0.000{col 59}{space 4} .0024134{col 72}{space 3} .0039134
{txt}{space 12}zone2 {c |}{col 19}{res}{space 2}-.0146726{col 31}{space 2} .0015435{col 42}{space 1}   -9.51{col 51}{space 3}0.000{col 59}{space 4}-.0176979{col 72}{space 3}-.0116474
{txt}{space 12}zone3 {c |}{col 19}{res}{space 2}-.0116879{col 31}{space 2} .0012969{col 42}{space 1}   -9.01{col 51}{space 3}0.000{col 59}{space 4}-.0142298{col 72}{space 3}-.0091461
{txt}{space 12}zone4 {c |}{col 19}{res}{space 2}-.0081664{col 31}{space 2} .0037611{col 42}{space 1}   -2.17{col 51}{space 3}0.030{col 59}{space 4}-.0155382{col 72}{space 3}-.0007945
{txt}{space 12}zone5 {c |}{col 19}{res}{space 2}-.0092478{col 31}{space 2} .0010044{col 42}{space 1}   -9.21{col 51}{space 3}0.000{col 59}{space 4}-.0112164{col 72}{space 3}-.0072792
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-.0039053{col 31}{space 2} .0023531{col 42}{space 1}   -1.66{col 51}{space 3}0.097{col 59}{space 4}-.0085173{col 72}{space 3} .0007067
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         
.         
.         ****************************************************************************
.         *Table SI.4.2: Regression results with standard errors clustered on departments (and partidos)
.         ****************************************************************************            
.         
.         *Model 1
.         nbreg repression hostcitytime hostcitytime2 hostcity time time2, cluster(id)

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-10966.283}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-8676.6588}  (not concave)
Iteration 2:{space 3}log pseudolikelihood = {res:-7319.4923}  
Iteration 3:{space 3}log pseudolikelihood = {res:-5325.9965}  (backed up)
Iteration 4:{space 3}log pseudolikelihood = {res:-4854.9358}  (backed up)
Iteration 5:{space 3}log pseudolikelihood = {res:-3610.9725}  (backed up)
Iteration 6:{space 3}log pseudolikelihood = {res:-2648.4515}  
Iteration 7:{space 3}log pseudolikelihood = {res:-2092.8348}  
Iteration 8:{space 3}log pseudolikelihood = {res: -1605.294}  
Iteration 9:{space 3}log pseudolikelihood = {res:-1580.2701}  
Iteration 10:{space 2}log pseudolikelihood = {res:-1579.1818}  
Iteration 11:{space 2}log pseudolikelihood = {res:-1579.1787}  
Iteration 12:{space 2}log pseudolikelihood = {res:-1579.1787}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -1843.669}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1500.2738}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1499.8186}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1499.8185}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1499.8185}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1432.3559}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1424.6998}  
Iteration 2:{space 3}log pseudolikelihood = {res: -1380.683}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1375.6896}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1375.6326}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1375.6325}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}    58,107
{txt}{col 49}Wald chi2({res}5{txt}){col 67}= {res}    988.81
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1375.6325{txt}{col 49}Pseudo R2{col 67}= {res}    0.0828

{txt}{ralign 79:(Std. Err. adjusted for {res:497} clusters in id)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}   repression{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}hostcitytime {c |}{col 15}{res}{space 2} 7.138495{col 27}{space 2} 1.693725{col 38}{space 1}    4.21{col 47}{space 3}0.000{col 55}{space 4} 3.818854{col 68}{space 3} 10.45814
{txt}hostcitytime2 {c |}{col 15}{res}{space 2}-5.879778{col 27}{space 2} 1.522894{col 38}{space 1}   -3.86{col 47}{space 3}0.000{col 55}{space 4}-8.864596{col 68}{space 3}-2.894959
{txt}{space 5}hostcity {c |}{col 15}{res}{space 2} 2.610162{col 27}{space 2} .8819207{col 38}{space 1}    2.96{col 47}{space 3}0.003{col 55}{space 4} .8816291{col 68}{space 3} 4.338695
{txt}{space 9}time {c |}{col 15}{res}{space 2}-1.816222{col 27}{space 2} 1.373857{col 38}{space 1}   -1.32{col 47}{space 3}0.186{col 55}{space 4}-4.508931{col 68}{space 3} .8764878
{txt}{space 8}time2 {c |}{col 15}{res}{space 2} 1.325502{col 27}{space 2} 1.099576{col 38}{space 1}    1.21{col 47}{space 3}0.228{col 55}{space 4}-.8296279{col 68}{space 3} 3.480632
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-5.344085{col 27}{space 2} .4274589{col 38}{space 1}  -12.50{col 47}{space 3}0.000{col 55}{space 4}-6.181889{col 68}{space 3}-4.506281
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}/lnalpha {c |}{col 15}{res}{space 2}  3.61739{col 27}{space 2} 1.505556{col 55}{space 4} .6665546{col 68}{space 3} 6.568226
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
        alpha {c |}{col 15}{res}{space 2} 37.24025{col 27}{space 2} 56.06728{col 55}{space 4} 1.947516{col 68}{space 3} 712.1052
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         
.         *Model 2
.         nbreg repression hostcitytime hostcitytime2 hostcity time time2 lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77, cluster(id)                

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-9838.8739}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-5227.2134}  
Iteration 2:{space 3}log pseudolikelihood = {res:-4468.9444}  (backed up)
Iteration 3:{space 3}log pseudolikelihood = {res:-4095.0377}  (backed up)
Iteration 4:{space 3}log pseudolikelihood = {res:-2983.5603}  
Iteration 5:{space 3}log pseudolikelihood = {res: -2581.443}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1252.6435}  
Iteration 7:{space 3}log pseudolikelihood = {res:-1146.1466}  
Iteration 8:{space 3}log pseudolikelihood = {res:-1123.0218}  
Iteration 9:{space 3}log pseudolikelihood = {res:-1122.7611}  
Iteration 10:{space 2}log pseudolikelihood = {res:-1122.7608}  
Iteration 11:{space 2}log pseudolikelihood = {res:-1122.7608}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -1829.657}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1488.4935}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1487.9062}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1487.9059}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1487.9059}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1388.7954}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1278.9073}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1038.5836}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1028.6705}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1027.8088}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1027.8076}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1027.8076}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}    56,394
{txt}{col 49}Wald chi2({res}10{txt}){col 67}= {res}    508.18
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1027.8076{txt}{col 49}Pseudo R2{col 67}= {res}    0.3092

{txt}{ralign 83:(Std. Err. adjusted for {res:482} clusters in id)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}       repression{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}hostcitytime {c |}{col 19}{res}{space 2} 7.556369{col 31}{space 2} 2.082998{col 42}{space 1}    3.63{col 51}{space 3}0.000{col 59}{space 4} 3.473768{col 72}{space 3} 11.63897
{txt}{space 4}hostcitytime2 {c |}{col 19}{res}{space 2}-6.164736{col 31}{space 2} 1.754135{col 42}{space 1}   -3.51{col 51}{space 3}0.000{col 59}{space 4}-9.602779{col 72}{space 3}-2.726694
{txt}{space 9}hostcity {c |}{col 19}{res}{space 2} -1.51123{col 31}{space 2}  .761543{col 42}{space 1}   -1.98{col 51}{space 3}0.047{col 59}{space 4}-3.003827{col 72}{space 3}-.0186334
{txt}{space 13}time {c |}{col 19}{res}{space 2}-1.935338{col 31}{space 2} 1.588971{col 42}{space 1}   -1.22{col 51}{space 3}0.223{col 59}{space 4}-5.049665{col 72}{space 3} 1.178988
{txt}{space 12}time2 {c |}{col 19}{res}{space 2} 1.376899{col 31}{space 2} 1.218772{col 42}{space 1}    1.13{col 51}{space 3}0.259{col 59}{space 4} -1.01185{col 72}{space 3} 3.765647
{txt}{space 7}lnpop_1970 {c |}{col 19}{res}{space 2} .3802286{col 31}{space 2} .4246708{col 42}{space 1}    0.90{col 51}{space 3}0.371{col 59}{space 4}-.4521108{col 72}{space 3} 1.212568
{txt}{space 5}vote_frejuli {c |}{col 19}{res}{space 2}  .032466{col 31}{space 2} .0199364{col 42}{space 1}    1.63{col 51}{space 3}0.103{col 59}{space 4}-.0066085{col 72}{space 3} .0715406
{txt}{space 5}literacy_avg {c |}{col 19}{res}{space 2} 1.821322{col 31}{space 2} 4.677976{col 42}{space 1}    0.39{col 51}{space 3}0.697{col 59}{space 4}-7.347343{col 72}{space 3} 10.98999
{txt}{space 5}lnrebact1974 {c |}{col 19}{res}{space 2} .1070022{col 31}{space 2} .0952958{col 42}{space 1}    1.12{col 51}{space 3}0.262{col 59}{space 4}-.0797742{col 72}{space 3} .2937786
{txt}lnrepression70_77 {c |}{col 19}{res}{space 2} .7555657{col 31}{space 2} .2971725{col 42}{space 1}    2.54{col 51}{space 3}0.011{col 59}{space 4} .1731183{col 72}{space 3} 1.338013
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-15.07722{col 31}{space 2} 5.319804{col 42}{space 1}   -2.83{col 51}{space 3}0.005{col 59}{space 4}-25.50384{col 72}{space 3}-4.650592
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}/lnalpha {c |}{col 19}{res}{space 2} 1.970928{col 31}{space 2}  .859722{col 59}{space 4} .2859042{col 72}{space 3} 3.655952
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
            alpha {c |}{col 19}{res}{space 2} 7.177336{col 31}{space 2} 6.170514{col 59}{space 4} 1.330965{col 72}{space 3} 38.70437
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         
.         *Model 3
.         nbreg repression hostcitytime hostcitytime2 hostcity time time2 lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77 zone2-zone5, cluster(id)

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-10251.041}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-9430.9581}  (not concave)
Iteration 2:{space 3}log pseudolikelihood = {res:-9336.6485}  (not concave)
Iteration 3:{space 3}log pseudolikelihood = {res:-9039.9324}  (not concave)
Iteration 4:{space 3}log pseudolikelihood = {res:-9011.2582}  (not concave)
Iteration 5:{space 3}log pseudolikelihood = {res:-8839.5593}  (not concave)
Iteration 6:{space 3}log pseudolikelihood = {res:-8621.9901}  (not concave)
Iteration 7:{space 3}log pseudolikelihood = {res:-8014.9415}  (not concave)
Iteration 8:{space 3}log pseudolikelihood = {res:-7694.8192}  (not concave)
Iteration 9:{space 3}log pseudolikelihood = {res:-7026.5236}  (not concave)
Iteration 10:{space 2}log pseudolikelihood = {res:-6810.6932}  (not concave)
Iteration 11:{space 2}log pseudolikelihood = {res:-6051.5859}  (not concave)
Iteration 12:{space 2}log pseudolikelihood = {res:-5581.0987}  (not concave)
Iteration 13:{space 2}log pseudolikelihood = {res: -5152.604}  
Iteration 14:{space 2}log pseudolikelihood = {res:-3471.1387}  (backed up)
Iteration 15:{space 2}log pseudolikelihood = {res:-3425.6215}  (backed up)
Iteration 16:{space 2}log pseudolikelihood = {res:  -2739.29}  
Iteration 17:{space 2}log pseudolikelihood = {res:-2217.3788}  
Iteration 18:{space 2}log pseudolikelihood = {res:-1206.9508}  
Iteration 19:{space 2}log pseudolikelihood = {res:-1117.6689}  
Iteration 20:{space 2}log pseudolikelihood = {res: -1097.297}  
Iteration 21:{space 2}log pseudolikelihood = {res:-1097.0317}  
Iteration 22:{space 2}log pseudolikelihood = {res:-1097.0315}  
Iteration 23:{space 2}log pseudolikelihood = {res:-1097.0315}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -1829.657}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1488.4935}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1487.9062}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1487.9059}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1487.9059}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1379.0592}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res: -1235.671}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1033.9711}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1015.7168}  
Iteration 4:{space 3}log pseudolikelihood = {res: -1011.739}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1011.6981}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1011.6981}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}    56,394
{txt}{col 49}Wald chi2({res}14{txt}){col 67}= {res}    663.09
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1011.6981{txt}{col 49}Pseudo R2{col 67}= {res}    0.3201

{txt}{ralign 83:(Std. Err. adjusted for {res:482} clusters in id)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}       repression{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}hostcitytime {c |}{col 19}{res}{space 2} 8.301135{col 31}{space 2} 2.481886{col 42}{space 1}    3.34{col 51}{space 3}0.001{col 59}{space 4} 3.436728{col 72}{space 3} 13.16554
{txt}{space 4}hostcitytime2 {c |}{col 19}{res}{space 2}-6.844269{col 31}{space 2} 2.133962{col 42}{space 1}   -3.21{col 51}{space 3}0.001{col 59}{space 4}-11.02676{col 72}{space 3} -2.66178
{txt}{space 9}hostcity {c |}{col 19}{res}{space 2}-1.434262{col 31}{space 2} .6476328{col 42}{space 1}   -2.21{col 51}{space 3}0.027{col 59}{space 4}-2.703599{col 72}{space 3}-.1649249
{txt}{space 13}time {c |}{col 19}{res}{space 2}-1.928213{col 31}{space 2} 1.589589{col 42}{space 1}   -1.21{col 51}{space 3}0.225{col 59}{space 4} -5.04375{col 72}{space 3} 1.187325
{txt}{space 12}time2 {c |}{col 19}{res}{space 2} 1.372503{col 31}{space 2} 1.215168{col 42}{space 1}    1.13{col 51}{space 3}0.259{col 59}{space 4}-1.009182{col 72}{space 3} 3.754189
{txt}{space 7}lnpop_1970 {c |}{col 19}{res}{space 2} .3694047{col 31}{space 2} .3911046{col 42}{space 1}    0.94{col 51}{space 3}0.345{col 59}{space 4}-.3971463{col 72}{space 3} 1.135956
{txt}{space 5}vote_frejuli {c |}{col 19}{res}{space 2} .0376127{col 31}{space 2} .0162614{col 42}{space 1}    2.31{col 51}{space 3}0.021{col 59}{space 4} .0057409{col 72}{space 3} .0694845
{txt}{space 5}literacy_avg {c |}{col 19}{res}{space 2} 1.154586{col 31}{space 2} 4.202322{col 42}{space 1}    0.27{col 51}{space 3}0.784{col 59}{space 4}-7.081815{col 72}{space 3} 9.390987
{txt}{space 5}lnrebact1974 {c |}{col 19}{res}{space 2}-.0679223{col 31}{space 2} .0865031{col 42}{space 1}   -0.79{col 51}{space 3}0.432{col 59}{space 4}-.2374653{col 72}{space 3} .1016207
{txt}lnrepression70_77 {c |}{col 19}{res}{space 2} .7067854{col 31}{space 2} .3025701{col 42}{space 1}    2.34{col 51}{space 3}0.019{col 59}{space 4} .1137589{col 72}{space 3} 1.299812
{txt}{space 12}zone2 {c |}{col 19}{res}{space 2} -2.09976{col 31}{space 2} .3935913{col 42}{space 1}   -5.33{col 51}{space 3}0.000{col 59}{space 4}-2.871185{col 72}{space 3}-1.328335
{txt}{space 12}zone3 {c |}{col 19}{res}{space 2}-.9578653{col 31}{space 2} .4341722{col 42}{space 1}   -2.21{col 51}{space 3}0.027{col 59}{space 4}-1.808827{col 72}{space 3}-.1069034
{txt}{space 12}zone4 {c |}{col 19}{res}{space 2}-.3881078{col 31}{space 2} .2294959{col 42}{space 1}   -1.69{col 51}{space 3}0.091{col 59}{space 4}-.8379115{col 72}{space 3} .0616958
{txt}{space 12}zone5 {c |}{col 19}{res}{space 2}-.9323005{col 31}{space 2} .6986461{col 42}{space 1}   -1.33{col 51}{space 3}0.182{col 59}{space 4}-2.301622{col 72}{space 3} .4370208
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-13.41226{col 31}{space 2} 4.979395{col 42}{space 1}   -2.69{col 51}{space 3}0.007{col 59}{space 4} -23.1717{col 72}{space 3}-3.652827
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}/lnalpha {c |}{col 19}{res}{space 2} 1.803443{col 31}{space 2} .8392006{col 59}{space 4} .1586404{col 72}{space 3} 3.448246
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
            alpha {c |}{col 19}{res}{space 2} 6.070515{col 31}{space 2}  5.09438{col 59}{space 4} 1.171916{col 72}{space 3}  31.4452
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.  
.         *Model 4
.         reg lnrepression hostcitytime hostcitytime2 hostcity time time2, cluster(id)

{txt}Linear regression                               Number of obs     = {res}    58,107
                                                {txt}F(5, 496)         =  {res}     9.56
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0455
                                                {txt}Root MSE          =    {res} .05157

{txt}{ralign 79:(Std. Err. adjusted for {res:497} clusters in id)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1} lnrepression{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}hostcitytime {c |}{col 15}{res}{space 2} .4012396{col 27}{space 2} .1769149{col 38}{space 1}    2.27{col 47}{space 3}0.024{col 55}{space 4} .0536446{col 68}{space 3} .7488347
{txt}hostcitytime2 {c |}{col 15}{res}{space 2}-.3229575{col 27}{space 2} .1337395{col 38}{space 1}   -2.41{col 47}{space 3}0.016{col 55}{space 4}-.5857232{col 68}{space 3}-.0601919
{txt}{space 5}hostcity {c |}{col 15}{res}{space 2} .0201865{col 27}{space 2} .0273726{col 38}{space 1}    0.74{col 47}{space 3}0.461{col 55}{space 4} -.033594{col 68}{space 3} .0739671
{txt}{space 9}time {c |}{col 15}{res}{space 2}-.0028412{col 27}{space 2} .0027102{col 38}{space 1}   -1.05{col 47}{space 3}0.295{col 55}{space 4}-.0081661{col 68}{space 3} .0024837
{txt}{space 8}time2 {c |}{col 15}{res}{space 2} .0020205{col 27}{space 2} .0021193{col 38}{space 1}    0.95{col 47}{space 3}0.341{col 55}{space 4}-.0021434{col 68}{space 3} .0061844
{txt}{space 8}_cons {c |}{col 15}{res}{space 2} .0025689{col 27}{space 2}  .000918{col 38}{space 1}    2.80{col 47}{space 3}0.005{col 55}{space 4} .0007652{col 68}{space 3} .0043725
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         *Model 5
.         reg lnrepression hostcitytime hostcitytime2 hostcity time time2 lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77, cluster(id)        

{txt}Linear regression                               Number of obs     = {res}    56,394
                                                {txt}F(10, 481)        =  {res}     8.67
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0585
                                                {txt}Root MSE          =    {res} .05192

{txt}{ralign 83:(Std. Err. adjusted for {res:482} clusters in id)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}     lnrepression{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}hostcitytime {c |}{col 19}{res}{space 2} .4014449{col 31}{space 2} .1769297{col 42}{space 1}    2.27{col 51}{space 3}0.024{col 59}{space 4} .0537942{col 72}{space 3} .7490956
{txt}{space 4}hostcitytime2 {c |}{col 19}{res}{space 2}-.3231063{col 31}{space 2} .1337508{col 42}{space 1}   -2.42{col 51}{space 3}0.016{col 59}{space 4}-.5859143{col 72}{space 3}-.0602984
{txt}{space 9}hostcity {c |}{col 19}{res}{space 2}-.0036886{col 31}{space 2} .0233233{col 42}{space 1}   -0.16{col 51}{space 3}0.874{col 59}{space 4}-.0495168{col 72}{space 3} .0421395
{txt}{space 13}time {c |}{col 19}{res}{space 2}-.0030465{col 31}{space 2} .0027884{col 42}{space 1}   -1.09{col 51}{space 3}0.275{col 59}{space 4}-.0085254{col 72}{space 3} .0024324
{txt}{space 12}time2 {c |}{col 19}{res}{space 2} .0021693{col 31}{space 2} .0021818{col 42}{space 1}    0.99{col 51}{space 3}0.321{col 59}{space 4}-.0021177{col 72}{space 3} .0064563
{txt}{space 7}lnpop_1970 {c |}{col 19}{res}{space 2} .0009697{col 31}{space 2} .0006325{col 42}{space 1}    1.53{col 51}{space 3}0.126{col 59}{space 4}-.0002731{col 72}{space 3} .0022125
{txt}{space 5}vote_frejuli {c |}{col 19}{res}{space 2}-.0000322{col 31}{space 2} .0000621{col 42}{space 1}   -0.52{col 51}{space 3}0.604{col 59}{space 4}-.0001542{col 72}{space 3} .0000899
{txt}{space 5}literacy_avg {c |}{col 19}{res}{space 2}-.0055594{col 31}{space 2} .0031766{col 42}{space 1}   -1.75{col 51}{space 3}0.081{col 59}{space 4}-.0118011{col 72}{space 3} .0006823
{txt}{space 5}lnrebact1974 {c |}{col 19}{res}{space 2}-.0001207{col 31}{space 2} .0004467{col 42}{space 1}   -0.27{col 51}{space 3}0.787{col 59}{space 4}-.0009985{col 72}{space 3}  .000757
{txt}lnrepression70_77 {c |}{col 19}{res}{space 2} .0040788{col 31}{space 2} .0008714{col 42}{space 1}    4.68{col 51}{space 3}0.000{col 59}{space 4} .0023665{col 72}{space 3} .0057911
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-.0040774{col 31}{space 2} .0048809{col 42}{space 1}   -0.84{col 51}{space 3}0.404{col 59}{space 4}-.0136679{col 72}{space 3} .0055132
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 
.         *Model 6
.         reg lnrepression hostcitytime hostcitytime2 hostcity time time2 lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77 zone2-zone5, cluster(id)                    

{txt}Linear regression                               Number of obs     = {res}    56,394
                                                {txt}F(14, 481)        =  {res}     7.96
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0632
                                                {txt}Root MSE          =    {res} .05179

{txt}{ralign 83:(Std. Err. adjusted for {res:482} clusters in id)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}     lnrepression{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}hostcitytime {c |}{col 19}{res}{space 2} .4014449{col 31}{space 2}  .176936{col 42}{space 1}    2.27{col 51}{space 3}0.024{col 59}{space 4} .0537819{col 72}{space 3} .7491079
{txt}{space 4}hostcitytime2 {c |}{col 19}{res}{space 2}-.3231063{col 31}{space 2} .1337555{col 42}{space 1}   -2.42{col 51}{space 3}0.016{col 59}{space 4}-.5859236{col 72}{space 3}-.0602891
{txt}{space 9}hostcity {c |}{col 19}{res}{space 2}-.0040282{col 31}{space 2} .0207107{col 42}{space 1}   -0.19{col 51}{space 3}0.846{col 59}{space 4}-.0447228{col 72}{space 3} .0366665
{txt}{space 13}time {c |}{col 19}{res}{space 2}-.0030465{col 31}{space 2} .0027885{col 42}{space 1}   -1.09{col 51}{space 3}0.275{col 59}{space 4}-.0085256{col 72}{space 3} .0024326
{txt}{space 12}time2 {c |}{col 19}{res}{space 2} .0021693{col 31}{space 2} .0021819{col 42}{space 1}    0.99{col 51}{space 3}0.321{col 59}{space 4}-.0021179{col 72}{space 3} .0064565
{txt}{space 7}lnpop_1970 {c |}{col 19}{res}{space 2}  .003262{col 31}{space 2} .0015736{col 42}{space 1}    2.07{col 51}{space 3}0.039{col 59}{space 4} .0001701{col 72}{space 3}  .006354
{txt}{space 5}vote_frejuli {c |}{col 19}{res}{space 2} .0000105{col 31}{space 2} .0000729{col 42}{space 1}    0.14{col 51}{space 3}0.886{col 59}{space 4}-.0001327{col 72}{space 3} .0001536
{txt}{space 5}literacy_avg {c |}{col 19}{res}{space 2}-.0231255{col 31}{space 2}  .010404{col 42}{space 1}   -2.22{col 51}{space 3}0.027{col 59}{space 4}-.0435683{col 72}{space 3}-.0026827
{txt}{space 5}lnrebact1974 {c |}{col 19}{res}{space 2}-.0013956{col 31}{space 2} .0009387{col 42}{space 1}   -1.49{col 51}{space 3}0.138{col 59}{space 4}-.0032401{col 72}{space 3} .0004489
{txt}lnrepression70_77 {c |}{col 19}{res}{space 2} .0031634{col 31}{space 2} .0007561{col 42}{space 1}    4.18{col 51}{space 3}0.000{col 59}{space 4} .0016777{col 72}{space 3} .0046491
{txt}{space 12}zone2 {c |}{col 19}{res}{space 2}-.0146726{col 31}{space 2} .0066791{col 42}{space 1}   -2.20{col 51}{space 3}0.029{col 59}{space 4}-.0277965{col 72}{space 3}-.0015488
{txt}{space 12}zone3 {c |}{col 19}{res}{space 2}-.0116879{col 31}{space 2} .0052193{col 42}{space 1}   -2.24{col 51}{space 3}0.026{col 59}{space 4}-.0219433{col 72}{space 3}-.0014325
{txt}{space 12}zone4 {c |}{col 19}{res}{space 2}-.0081664{col 31}{space 2} .0061536{col 42}{space 1}   -1.33{col 51}{space 3}0.185{col 59}{space 4}-.0202576{col 72}{space 3} .0039249
{txt}{space 12}zone5 {c |}{col 19}{res}{space 2}-.0092478{col 31}{space 2} .0044076{col 42}{space 1}   -2.10{col 51}{space 3}0.036{col 59}{space 4}-.0179083{col 72}{space 3}-.0005873
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-.0039053{col 31}{space 2} .0065465{col 42}{space 1}   -0.60{col 51}{space 3}0.551{col 59}{space 4}-.0167686{col 72}{space 3} .0089579
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 
.         
.         
.         ****************************************************************************
.         *Table SI.4.3: Regression results with standard errors clustered on provinces
.         ****************************************************************************            
.         
.         *Model 1
.         nbreg repression hostcitytime hostcitytime2 hostcity time time2, cluster(id_prov)

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-10966.283}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-8676.6588}  (not concave)
Iteration 2:{space 3}log pseudolikelihood = {res:-7319.4923}  
Iteration 3:{space 3}log pseudolikelihood = {res:-5325.9965}  (backed up)
Iteration 4:{space 3}log pseudolikelihood = {res:-4854.9358}  (backed up)
Iteration 5:{space 3}log pseudolikelihood = {res:-3610.9725}  (backed up)
Iteration 6:{space 3}log pseudolikelihood = {res:-2648.4515}  
Iteration 7:{space 3}log pseudolikelihood = {res:-2092.8348}  
Iteration 8:{space 3}log pseudolikelihood = {res: -1605.294}  
Iteration 9:{space 3}log pseudolikelihood = {res:-1580.2701}  
Iteration 10:{space 2}log pseudolikelihood = {res:-1579.1818}  
Iteration 11:{space 2}log pseudolikelihood = {res:-1579.1787}  
Iteration 12:{space 2}log pseudolikelihood = {res:-1579.1787}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -1843.669}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1500.2738}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1499.8186}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1499.8185}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1499.8185}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1432.3559}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1424.6998}  
Iteration 2:{space 3}log pseudolikelihood = {res: -1380.683}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1375.6896}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1375.6326}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1375.6325}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}    58,107
{txt}{col 49}Wald chi2({res}5{txt}){col 67}= {res}    467.10
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1375.6325{txt}{col 49}Pseudo R2{col 67}= {res}    0.0828

{txt}{ralign 79:(Std. Err. adjusted for {res:24} clusters in id_prov)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}   repression{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}hostcitytime {c |}{col 15}{res}{space 2} 7.138495{col 27}{space 2} 1.316994{col 38}{space 1}    5.42{col 47}{space 3}0.000{col 55}{space 4} 4.557233{col 68}{space 3} 9.719757
{txt}hostcitytime2 {c |}{col 15}{res}{space 2}-5.879778{col 27}{space 2} 1.165755{col 38}{space 1}   -5.04{col 47}{space 3}0.000{col 55}{space 4}-8.164614{col 68}{space 3}-3.594941
{txt}{space 5}hostcity {c |}{col 15}{res}{space 2} 2.610162{col 27}{space 2} .9075775{col 38}{space 1}    2.88{col 47}{space 3}0.004{col 55}{space 4} .8313428{col 68}{space 3} 4.388981
{txt}{space 9}time {c |}{col 15}{res}{space 2}-1.816222{col 27}{space 2} 1.009158{col 38}{space 1}   -1.80{col 47}{space 3}0.072{col 55}{space 4}-3.794134{col 68}{space 3} .1616912
{txt}{space 8}time2 {c |}{col 15}{res}{space 2} 1.325502{col 27}{space 2} .7057169{col 38}{space 1}    1.88{col 47}{space 3}0.060{col 55}{space 4}-.0576777{col 68}{space 3} 2.708682
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-5.344085{col 27}{space 2} .4860977{col 38}{space 1}  -10.99{col 47}{space 3}0.000{col 55}{space 4}-6.296819{col 68}{space 3}-4.391351
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}/lnalpha {c |}{col 15}{res}{space 2}  3.61739{col 27}{space 2}  1.79016{col 55}{space 4} .1087406{col 68}{space 3}  7.12604
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
        alpha {c |}{col 15}{res}{space 2} 37.24025{col 27}{space 2} 66.66601{col 55}{space 4} 1.114873{col 68}{space 3} 1243.941
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         
.         *Model 2
.         nbreg repression hostcitytime hostcitytime2 hostcity time time2 lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77, cluster(id_prov)           

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-9838.8739}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-5227.2134}  
Iteration 2:{space 3}log pseudolikelihood = {res:-4468.9444}  (backed up)
Iteration 3:{space 3}log pseudolikelihood = {res:-4095.0377}  (backed up)
Iteration 4:{space 3}log pseudolikelihood = {res:-2983.5603}  
Iteration 5:{space 3}log pseudolikelihood = {res: -2581.443}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1252.6435}  
Iteration 7:{space 3}log pseudolikelihood = {res:-1146.1466}  
Iteration 8:{space 3}log pseudolikelihood = {res:-1123.0218}  
Iteration 9:{space 3}log pseudolikelihood = {res:-1122.7611}  
Iteration 10:{space 2}log pseudolikelihood = {res:-1122.7608}  
Iteration 11:{space 2}log pseudolikelihood = {res:-1122.7608}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -1829.657}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1488.4935}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1487.9062}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1487.9059}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1487.9059}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1388.7954}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1278.9073}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1038.5836}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1028.6705}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1027.8088}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1027.8076}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1027.8076}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}    56,394
{txt}{col 49}Wald chi2({res}10{txt}){col 67}= {res}   8765.93
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1027.8076{txt}{col 49}Pseudo R2{col 67}= {res}    0.3092

{txt}{ralign 83:(Std. Err. adjusted for {res:24} clusters in id_prov)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}       repression{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}hostcitytime {c |}{col 19}{res}{space 2} 7.556369{col 31}{space 2} 1.818424{col 42}{space 1}    4.16{col 51}{space 3}0.000{col 59}{space 4} 3.992322{col 72}{space 3} 11.12041
{txt}{space 4}hostcitytime2 {c |}{col 19}{res}{space 2}-6.164736{col 31}{space 2} 1.447145{col 42}{space 1}   -4.26{col 51}{space 3}0.000{col 59}{space 4}-9.001089{col 72}{space 3}-3.328384
{txt}{space 9}hostcity {c |}{col 19}{res}{space 2} -1.51123{col 31}{space 2} .8103006{col 42}{space 1}   -1.87{col 51}{space 3}0.062{col 59}{space 4} -3.09939{col 72}{space 3} .0769297
{txt}{space 13}time {c |}{col 19}{res}{space 2}-1.935338{col 31}{space 2} 1.407636{col 42}{space 1}   -1.37{col 51}{space 3}0.169{col 59}{space 4}-4.694254{col 72}{space 3} .8235775
{txt}{space 12}time2 {c |}{col 19}{res}{space 2} 1.376899{col 31}{space 2} .9827189{col 42}{space 1}    1.40{col 51}{space 3}0.161{col 59}{space 4}-.5491947{col 72}{space 3} 3.302993
{txt}{space 7}lnpop_1970 {c |}{col 19}{res}{space 2} .3802286{col 31}{space 2} .4929797{col 42}{space 1}    0.77{col 51}{space 3}0.441{col 59}{space 4}-.5859939{col 72}{space 3} 1.346451
{txt}{space 5}vote_frejuli {c |}{col 19}{res}{space 2}  .032466{col 31}{space 2} .0195938{col 42}{space 1}    1.66{col 51}{space 3}0.098{col 59}{space 4}-.0059371{col 72}{space 3} .0708692
{txt}{space 5}literacy_avg {c |}{col 19}{res}{space 2} 1.821322{col 31}{space 2} 4.004875{col 42}{space 1}    0.45{col 51}{space 3}0.649{col 59}{space 4} -6.02809{col 72}{space 3} 9.670733
{txt}{space 5}lnrebact1974 {c |}{col 19}{res}{space 2} .1070022{col 31}{space 2} .1171541{col 42}{space 1}    0.91{col 51}{space 3}0.361{col 59}{space 4}-.1226157{col 72}{space 3}   .33662
{txt}lnrepression70_77 {c |}{col 19}{res}{space 2} .7555657{col 31}{space 2} .3435384{col 42}{space 1}    2.20{col 51}{space 3}0.028{col 59}{space 4} .0822428{col 72}{space 3} 1.428888
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-15.07722{col 31}{space 2} 6.828836{col 42}{space 1}   -2.21{col 51}{space 3}0.027{col 59}{space 4}-28.46149{col 72}{space 3}-1.692945
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}/lnalpha {c |}{col 19}{res}{space 2} 1.970928{col 31}{space 2} .9391484{col 59}{space 4} .1302313{col 72}{space 3} 3.811625
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
            alpha {c |}{col 19}{res}{space 2} 7.177336{col 31}{space 2} 6.740583{col 59}{space 4} 1.139092{col 72}{space 3} 45.22388
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.                 
.         *Model 3
.         nbreg repression hostcitytime hostcitytime2 hostcity time time2 lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77 zone2-zone5, cluster(id_prov)

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-10251.041}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-9430.9581}  (not concave)
Iteration 2:{space 3}log pseudolikelihood = {res:-9336.6485}  (not concave)
Iteration 3:{space 3}log pseudolikelihood = {res:-9039.9324}  (not concave)
Iteration 4:{space 3}log pseudolikelihood = {res:-9011.2582}  (not concave)
Iteration 5:{space 3}log pseudolikelihood = {res:-8839.5593}  (not concave)
Iteration 6:{space 3}log pseudolikelihood = {res:-8621.9901}  (not concave)
Iteration 7:{space 3}log pseudolikelihood = {res:-8014.9415}  (not concave)
Iteration 8:{space 3}log pseudolikelihood = {res:-7694.8192}  (not concave)
Iteration 9:{space 3}log pseudolikelihood = {res:-7026.5236}  (not concave)
Iteration 10:{space 2}log pseudolikelihood = {res:-6810.6932}  (not concave)
Iteration 11:{space 2}log pseudolikelihood = {res:-6051.5859}  (not concave)
Iteration 12:{space 2}log pseudolikelihood = {res:-5581.0987}  (not concave)
Iteration 13:{space 2}log pseudolikelihood = {res: -5152.604}  
Iteration 14:{space 2}log pseudolikelihood = {res:-3471.1387}  (backed up)
Iteration 15:{space 2}log pseudolikelihood = {res:-3425.6215}  (backed up)
Iteration 16:{space 2}log pseudolikelihood = {res:  -2739.29}  
Iteration 17:{space 2}log pseudolikelihood = {res:-2217.3788}  
Iteration 18:{space 2}log pseudolikelihood = {res:-1206.9508}  
Iteration 19:{space 2}log pseudolikelihood = {res:-1117.6689}  
Iteration 20:{space 2}log pseudolikelihood = {res: -1097.297}  
Iteration 21:{space 2}log pseudolikelihood = {res:-1097.0317}  
Iteration 22:{space 2}log pseudolikelihood = {res:-1097.0315}  
Iteration 23:{space 2}log pseudolikelihood = {res:-1097.0315}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -1829.657}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1488.4935}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1487.9062}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1487.9059}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1487.9059}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1379.0592}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res: -1235.671}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1033.9711}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1015.7168}  
Iteration 4:{space 3}log pseudolikelihood = {res: -1011.739}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1011.6981}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1011.6981}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}    56,394
{txt}{col 49}{help j_robustsingular##|_new:Wald chi2(13)}{col 67}=          {res}.
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res}-1011.6981{txt}{col 49}Pseudo R2{col 67}= {res}    0.3201

{txt}{ralign 83:(Std. Err. adjusted for {res:24} clusters in id_prov)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}       repression{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}hostcitytime {c |}{col 19}{res}{space 2} 8.301135{col 31}{space 2} 2.296485{col 42}{space 1}    3.61{col 51}{space 3}0.000{col 59}{space 4} 3.800107{col 72}{space 3} 12.80216
{txt}{space 4}hostcitytime2 {c |}{col 19}{res}{space 2}-6.844269{col 31}{space 2} 1.975286{col 42}{space 1}   -3.46{col 51}{space 3}0.001{col 59}{space 4}-10.71576{col 72}{space 3}-2.972779
{txt}{space 9}hostcity {c |}{col 19}{res}{space 2}-1.434262{col 31}{space 2} .5745889{col 42}{space 1}   -2.50{col 51}{space 3}0.013{col 59}{space 4}-2.560435{col 72}{space 3}-.3080882
{txt}{space 13}time {c |}{col 19}{res}{space 2}-1.928213{col 31}{space 2} 1.353634{col 42}{space 1}   -1.42{col 51}{space 3}0.154{col 59}{space 4}-4.581287{col 72}{space 3} .7248616
{txt}{space 12}time2 {c |}{col 19}{res}{space 2} 1.372503{col 31}{space 2} .9464509{col 42}{space 1}    1.45{col 51}{space 3}0.147{col 59}{space 4}-.4825062{col 72}{space 3} 3.227513
{txt}{space 7}lnpop_1970 {c |}{col 19}{res}{space 2} .3694047{col 31}{space 2} .5183814{col 42}{space 1}    0.71{col 51}{space 3}0.476{col 59}{space 4}-.6466041{col 72}{space 3} 1.385414
{txt}{space 5}vote_frejuli {c |}{col 19}{res}{space 2} .0376127{col 31}{space 2} .0133425{col 42}{space 1}    2.82{col 51}{space 3}0.005{col 59}{space 4} .0114618{col 72}{space 3} .0637635
{txt}{space 5}literacy_avg {c |}{col 19}{res}{space 2} 1.154586{col 31}{space 2} 3.363749{col 42}{space 1}    0.34{col 51}{space 3}0.731{col 59}{space 4}-5.438241{col 72}{space 3} 7.747413
{txt}{space 5}lnrebact1974 {c |}{col 19}{res}{space 2}-.0679223{col 31}{space 2}  .094185{col 42}{space 1}   -0.72{col 51}{space 3}0.471{col 59}{space 4}-.2525215{col 72}{space 3} .1166768
{txt}lnrepression70_77 {c |}{col 19}{res}{space 2} .7067854{col 31}{space 2} .3605718{col 42}{space 1}    1.96{col 51}{space 3}0.050{col 59}{space 4} .0000775{col 72}{space 3} 1.413493
{txt}{space 12}zone2 {c |}{col 19}{res}{space 2} -2.09976{col 31}{space 2} .3367064{col 42}{space 1}   -6.24{col 51}{space 3}0.000{col 59}{space 4}-2.759692{col 72}{space 3}-1.439827
{txt}{space 12}zone3 {c |}{col 19}{res}{space 2}-.9578653{col 31}{space 2} .5729818{col 42}{space 1}   -1.67{col 51}{space 3}0.095{col 59}{space 4}-2.080889{col 72}{space 3} .1651584
{txt}{space 12}zone4 {c |}{col 19}{res}{space 2}-.3881078{col 31}{space 2} .0630179{col 42}{space 1}   -6.16{col 51}{space 3}0.000{col 59}{space 4}-.5116206{col 72}{space 3}-.2645951
{txt}{space 12}zone5 {c |}{col 19}{res}{space 2}-.9323005{col 31}{space 2} .9394587{col 42}{space 1}   -0.99{col 51}{space 3}0.321{col 59}{space 4}-2.773606{col 72}{space 3} .9090048
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-13.41226{col 31}{space 2} 6.072706{col 42}{space 1}   -2.21{col 51}{space 3}0.027{col 59}{space 4}-25.31455{col 72}{space 3}-1.509976
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}/lnalpha {c |}{col 19}{res}{space 2} 1.803443{col 31}{space 2} .9508153{col 59}{space 4}-.0601205{col 72}{space 3} 3.667007
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
            alpha {c |}{col 19}{res}{space 2} 6.070515{col 31}{space 2} 5.771938{col 59}{space 4} .9416511{col 72}{space 3} 39.13461
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.  
.         *Model 4
.         reg lnrepression hostcitytime hostcitytime2 hostcity time time2, cluster(id_prov)

{txt}Linear regression                               Number of obs     = {res}    58,107
                                                {txt}F(5, 23)          =  {res}    11.29
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0455
                                                {txt}Root MSE          =    {res} .05157

{txt}{ralign 79:(Std. Err. adjusted for {res:24} clusters in id_prov)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1} lnrepression{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}hostcitytime {c |}{col 15}{res}{space 2} .4012396{col 27}{space 2} .1805374{col 38}{space 1}    2.22{col 47}{space 3}0.036{col 55}{space 4} .0277696{col 68}{space 3} .7747096
{txt}hostcitytime2 {c |}{col 15}{res}{space 2}-.3229575{col 27}{space 2}  .136493{col 38}{space 1}   -2.37{col 47}{space 3}0.027{col 55}{space 4}-.6053148{col 68}{space 3}-.0406003
{txt}{space 5}hostcity {c |}{col 15}{res}{space 2} .0201865{col 27}{space 2} .0276385{col 38}{space 1}    0.73{col 47}{space 3}0.473{col 55}{space 4}-.0369881{col 68}{space 3} .0773611
{txt}{space 9}time {c |}{col 15}{res}{space 2}-.0028412{col 27}{space 2} .0015728{col 38}{space 1}   -1.81{col 47}{space 3}0.084{col 55}{space 4}-.0060948{col 68}{space 3} .0004124
{txt}{space 8}time2 {c |}{col 15}{res}{space 2} .0020205{col 27}{space 2} .0011109{col 38}{space 1}    1.82{col 47}{space 3}0.082{col 55}{space 4}-.0002776{col 68}{space 3} .0043186
{txt}{space 8}_cons {c |}{col 15}{res}{space 2} .0025689{col 27}{space 2}  .001287{col 38}{space 1}    2.00{col 47}{space 3}0.058{col 55}{space 4}-.0000935{col 68}{space 3} .0052313
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         *Model 5
.         reg lnrepression hostcitytime hostcitytime2 hostcity time time2 lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77, cluster(id_prov)   

{txt}Linear regression                               Number of obs     = {res}    56,394
                                                {txt}F(10, 23)         =  {res}   115.92
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0585
                                                {txt}Root MSE          =    {res} .05192

{txt}{ralign 83:(Std. Err. adjusted for {res:24} clusters in id_prov)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}     lnrepression{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}hostcitytime {c |}{col 19}{res}{space 2} .4014449{col 31}{space 2} .1805647{col 42}{space 1}    2.22{col 51}{space 3}0.036{col 59}{space 4} .0279183{col 72}{space 3} .7749716
{txt}{space 4}hostcitytime2 {c |}{col 19}{res}{space 2}-.3231063{col 31}{space 2} .1365113{col 42}{space 1}   -2.37{col 51}{space 3}0.027{col 59}{space 4}-.6055015{col 72}{space 3}-.0407112
{txt}{space 9}hostcity {c |}{col 19}{res}{space 2}-.0036886{col 31}{space 2} .0220041{col 42}{space 1}   -0.17{col 51}{space 3}0.868{col 59}{space 4}-.0492076{col 72}{space 3} .0418303
{txt}{space 13}time {c |}{col 19}{res}{space 2}-.0030465{col 31}{space 2} .0017497{col 42}{space 1}   -1.74{col 51}{space 3}0.095{col 59}{space 4} -.006666{col 72}{space 3}  .000573
{txt}{space 12}time2 {c |}{col 19}{res}{space 2} .0021693{col 31}{space 2} .0012397{col 42}{space 1}    1.75{col 51}{space 3}0.093{col 59}{space 4}-.0003953{col 72}{space 3} .0047339
{txt}{space 7}lnpop_1970 {c |}{col 19}{res}{space 2} .0009697{col 31}{space 2} .0010392{col 42}{space 1}    0.93{col 51}{space 3}0.360{col 59}{space 4}-.0011801{col 72}{space 3} .0031194
{txt}{space 5}vote_frejuli {c |}{col 19}{res}{space 2}-.0000322{col 31}{space 2} .0000602{col 42}{space 1}   -0.53{col 51}{space 3}0.598{col 59}{space 4}-.0001567{col 72}{space 3} .0000923
{txt}{space 5}literacy_avg {c |}{col 19}{res}{space 2}-.0055594{col 31}{space 2} .0035987{col 42}{space 1}   -1.54{col 51}{space 3}0.136{col 59}{space 4}-.0130039{col 72}{space 3} .0018851
{txt}{space 5}lnrebact1974 {c |}{col 19}{res}{space 2}-.0001207{col 31}{space 2} .0004662{col 42}{space 1}   -0.26{col 51}{space 3}0.798{col 59}{space 4}-.0010851{col 72}{space 3} .0008436
{txt}lnrepression70_77 {c |}{col 19}{res}{space 2} .0040788{col 31}{space 2} .0006323{col 42}{space 1}    6.45{col 51}{space 3}0.000{col 59}{space 4} .0027708{col 72}{space 3} .0053869
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-.0040774{col 31}{space 2} .0091861{col 42}{space 1}   -0.44{col 51}{space 3}0.661{col 59}{space 4}-.0230803{col 72}{space 3} .0149256
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 
.         *Model 6
.         reg lnrepression hostcitytime hostcitytime2 hostcity time time2 lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77 zone2-zone5, cluster(id_prov)                       

{txt}Linear regression                               Number of obs     = {res}    56,394
                                                {txt}{help j_robustsingular:F(13, 23) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0632
                                                {txt}Root MSE          =    {res} .05179

{txt}{ralign 83:(Std. Err. adjusted for {res:24} clusters in id_prov)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}     lnrepression{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}hostcitytime {c |}{col 19}{res}{space 2} .4014449{col 31}{space 2} .1805712{col 42}{space 1}    2.22{col 51}{space 3}0.036{col 59}{space 4}  .027905{col 72}{space 3} .7749848
{txt}{space 4}hostcitytime2 {c |}{col 19}{res}{space 2}-.3231063{col 31}{space 2} .1365161{col 42}{space 1}   -2.37{col 51}{space 3}0.027{col 59}{space 4}-.6055115{col 72}{space 3}-.0407012
{txt}{space 9}hostcity {c |}{col 19}{res}{space 2}-.0040282{col 31}{space 2} .0196498{col 42}{space 1}   -0.20{col 51}{space 3}0.839{col 59}{space 4}-.0446769{col 72}{space 3} .0366206
{txt}{space 13}time {c |}{col 19}{res}{space 2}-.0030465{col 31}{space 2} .0017497{col 42}{space 1}   -1.74{col 51}{space 3}0.095{col 59}{space 4}-.0066661{col 72}{space 3} .0005731
{txt}{space 12}time2 {c |}{col 19}{res}{space 2} .0021693{col 31}{space 2} .0012398{col 42}{space 1}    1.75{col 51}{space 3}0.093{col 59}{space 4}-.0003954{col 72}{space 3}  .004734
{txt}{space 7}lnpop_1970 {c |}{col 19}{res}{space 2}  .003262{col 31}{space 2} .0017472{col 42}{space 1}    1.87{col 51}{space 3}0.075{col 59}{space 4}-.0003524{col 72}{space 3} .0068765
{txt}{space 5}vote_frejuli {c |}{col 19}{res}{space 2} .0000105{col 31}{space 2}  .000058{col 42}{space 1}    0.18{col 51}{space 3}0.858{col 59}{space 4}-.0001095{col 72}{space 3} .0001305
{txt}{space 5}literacy_avg {c |}{col 19}{res}{space 2}-.0231255{col 31}{space 2} .0105964{col 42}{space 1}   -2.18{col 51}{space 3}0.040{col 59}{space 4}-.0450458{col 72}{space 3}-.0012052
{txt}{space 5}lnrebact1974 {c |}{col 19}{res}{space 2}-.0013956{col 31}{space 2} .0010521{col 42}{space 1}   -1.33{col 51}{space 3}0.198{col 59}{space 4} -.003572{col 72}{space 3} .0007808
{txt}lnrepression70_77 {c |}{col 19}{res}{space 2} .0031634{col 31}{space 2} .0005957{col 42}{space 1}    5.31{col 51}{space 3}0.000{col 59}{space 4} .0019311{col 72}{space 3} .0043957
{txt}{space 12}zone2 {c |}{col 19}{res}{space 2}-.0146726{col 31}{space 2} .0067366{col 42}{space 1}   -2.18{col 51}{space 3}0.040{col 59}{space 4}-.0286084{col 72}{space 3}-.0007369
{txt}{space 12}zone3 {c |}{col 19}{res}{space 2}-.0116879{col 31}{space 2} .0053911{col 42}{space 1}   -2.17{col 51}{space 3}0.041{col 59}{space 4}-.0228402{col 72}{space 3}-.0005357
{txt}{space 12}zone4 {c |}{col 19}{res}{space 2}-.0081664{col 31}{space 2} .0039629{col 42}{space 1}   -2.06{col 51}{space 3}0.051{col 59}{space 4}-.0163643{col 72}{space 3} .0000316
{txt}{space 12}zone5 {c |}{col 19}{res}{space 2}-.0092478{col 31}{space 2} .0050158{col 42}{space 1}   -1.84{col 51}{space 3}0.078{col 59}{space 4}-.0196239{col 72}{space 3} .0011283
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-.0039053{col 31}{space 2} .0079798{col 42}{space 1}   -0.49{col 51}{space 3}0.629{col 59}{space 4}-.0204128{col 72}{space 3} .0126021
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.  
.         
.         
.         ****************************************************************************
.         *Table SI.4.4: Regression results for cubic polynomials of time
.         ****************************************************************************            
.         
.         *Model 1 
.         nbreg repression hostcitytime hostcitytime2 hostcitytime3 hostcity time time2 time3, robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-14133.179}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-10215.368}  (not concave)
Iteration 2:{space 3}log pseudolikelihood = {res: -8660.801}  (not concave)
Iteration 3:{space 3}log pseudolikelihood = {res:-8107.2826}  (not concave)
Iteration 4:{space 3}log pseudolikelihood = {res:-7884.7307}  (not concave)
Iteration 5:{space 3}log pseudolikelihood = {res:-7601.9516}  (not concave)
Iteration 6:{space 3}log pseudolikelihood = {res:-7291.0934}  (not concave)
Iteration 7:{space 3}log pseudolikelihood = {res:-7148.5378}  (not concave)
Iteration 8:{space 3}log pseudolikelihood = {res:-6962.7958}  (not concave)
Iteration 9:{space 3}log pseudolikelihood = {res: -6787.511}  (not concave)
Iteration 10:{space 2}log pseudolikelihood = {res:-6594.2406}  (not concave)
Iteration 11:{space 2}log pseudolikelihood = {res:-6389.2972}  (not concave)
Iteration 12:{space 2}log pseudolikelihood = {res:-6074.0288}  (not concave)
Iteration 13:{space 2}log pseudolikelihood = {res:-5935.3589}  (not concave)
Iteration 14:{space 2}log pseudolikelihood = {res:-5783.0894}  (not concave)
Iteration 15:{space 2}log pseudolikelihood = {res:-5560.7436}  (not concave)
Iteration 16:{space 2}log pseudolikelihood = {res:-5417.5769}  (not concave)
Iteration 17:{space 2}log pseudolikelihood = {res:-5323.6701}  (not concave)
Iteration 18:{space 2}log pseudolikelihood = {res:-5225.8094}  (not concave)
Iteration 19:{space 2}log pseudolikelihood = {res:-5146.8309}  
Iteration 20:{space 2}log pseudolikelihood = {res: -4114.903}  (backed up)
Iteration 21:{space 2}log pseudolikelihood = {res:-3170.0993}  (backed up)
Iteration 22:{space 2}log pseudolikelihood = {res:-2140.4005}  
Iteration 23:{space 2}log pseudolikelihood = {res: -1817.751}  
Iteration 24:{space 2}log pseudolikelihood = {res:-1612.3844}  
Iteration 25:{space 2}log pseudolikelihood = {res:-1565.8235}  
Iteration 26:{space 2}log pseudolikelihood = {res:-1564.6814}  
Iteration 27:{space 2}log pseudolikelihood = {res:-1564.6772}  
Iteration 28:{space 2}log pseudolikelihood = {res:-1564.6772}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -1843.669}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1500.2738}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1499.8186}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1499.8185}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1499.8185}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1431.0561}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1380.2171}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1371.4457}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1371.2481}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1371.2466}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1371.2466}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}    58,107
{txt}{col 49}Wald chi2({res}7{txt}){col 67}= {res}    624.03
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1371.2466{txt}{col 49}Pseudo R2{col 67}= {res}    0.0857

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}   repression{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}hostcitytime {c |}{col 15}{res}{space 2}-.1561355{col 27}{space 2}  5.38614{col 38}{space 1}   -0.03{col 47}{space 3}0.977{col 55}{space 4}-10.71278{col 68}{space 3}  10.4005
{txt}hostcitytime2 {c |}{col 15}{res}{space 2} 9.099961{col 27}{space 2} 11.70352{col 38}{space 1}    0.78{col 47}{space 3}0.437{col 55}{space 4}-13.83851{col 68}{space 3} 32.03843
{txt}hostcitytime3 {c |}{col 15}{res}{space 2}-8.541156{col 27}{space 2}  7.15142{col 38}{space 1}   -1.19{col 47}{space 3}0.232{col 55}{space 4}-22.55768{col 68}{space 3} 5.475369
{txt}{space 5}hostcity {c |}{col 15}{res}{space 2} 3.372629{col 27}{space 2} .6615275{col 38}{space 1}    5.10{col 47}{space 3}0.000{col 55}{space 4} 2.076059{col 68}{space 3} 4.669199
{txt}{space 9}time {c |}{col 15}{res}{space 2} -6.78707{col 27}{space 2} 3.065136{col 38}{space 1}   -2.21{col 47}{space 3}0.027{col 55}{space 4}-12.79463{col 68}{space 3}-.7795148
{txt}{space 8}time2 {c |}{col 15}{res}{space 2} 12.22042{col 27}{space 2} 6.412658{col 38}{space 1}    1.91{col 47}{space 3}0.057{col 55}{space 4}-.3481592{col 68}{space 3}   24.789
{txt}{space 8}time3 {c |}{col 15}{res}{space 2}-6.269817{col 27}{space 2}  3.67723{col 38}{space 1}   -1.71{col 47}{space 3}0.088{col 55}{space 4}-13.47706{col 68}{space 3} .9374221
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-4.909734{col 27}{space 2} .3572493{col 38}{space 1}  -13.74{col 47}{space 3}0.000{col 55}{space 4} -5.60993{col 68}{space 3}-4.209538
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}/lnalpha {c |}{col 15}{res}{space 2} 3.554203{col 27}{space 2} .4382611{col 55}{space 4} 2.695227{col 68}{space 3} 4.413179
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
        alpha {c |}{col 15}{res}{space 2} 34.95995{col 27}{space 2} 15.32158{col 55}{space 4} 14.80888{col 68}{space 3} 82.53141
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         
.         *Model 2 
.         nbreg repression hostcitytime hostcitytime2 hostcitytime3 hostcity time time2 time3 lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77, robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-12905.558}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-6735.5119}  (not concave)
Iteration 2:{space 3}log pseudolikelihood = {res:-6219.3648}  (not concave)
Iteration 3:{space 3}log pseudolikelihood = {res:-5142.3421}  
Iteration 4:{space 3}log pseudolikelihood = {res:-4578.8943}  (backed up)
Iteration 5:{space 3}log pseudolikelihood = {res:-3610.7541}  (backed up)
Iteration 6:{space 3}log pseudolikelihood = {res:-2328.5125}  
Iteration 7:{space 3}log pseudolikelihood = {res:-1779.6631}  
Iteration 8:{space 3}log pseudolikelihood = {res:-1233.2981}  
Iteration 9:{space 3}log pseudolikelihood = {res:-1117.8483}  
Iteration 10:{space 2}log pseudolikelihood = {res:-1108.6901}  
Iteration 11:{space 2}log pseudolikelihood = {res:-1108.4675}  
Iteration 12:{space 2}log pseudolikelihood = {res:-1108.4668}  
Iteration 13:{space 2}log pseudolikelihood = {res:-1108.4668}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -1829.657}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1488.4935}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1487.9062}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1487.9059}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1487.9059}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1389.2016}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1281.6987}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1043.2538}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1026.0534}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1022.6544}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1022.6007}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1022.6007}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}    56,394
{txt}{col 49}Wald chi2({res}12{txt}){col 67}= {res}    583.40
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1022.6007{txt}{col 49}Pseudo R2{col 67}= {res}    0.3127

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}       repression{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}hostcitytime {c |}{col 19}{res}{space 2}  .538102{col 31}{space 2} 4.893171{col 42}{space 1}    0.11{col 51}{space 3}0.912{col 59}{space 4}-9.052336{col 72}{space 3} 10.12854
{txt}{space 4}hostcitytime2 {c |}{col 19}{res}{space 2} 8.438512{col 31}{space 2}  10.9118{col 42}{space 1}    0.77{col 51}{space 3}0.439{col 59}{space 4}-12.94822{col 72}{space 3} 29.82525
{txt}{space 4}hostcitytime3 {c |}{col 19}{res}{space 2}-8.484335{col 31}{space 2} 6.638534{col 42}{space 1}   -1.28{col 51}{space 3}0.201{col 59}{space 4}-21.49562{col 72}{space 3} 4.526953
{txt}{space 9}hostcity {c |}{col 19}{res}{space 2}-.7177829{col 31}{space 2} .6475633{col 42}{space 1}   -1.11{col 51}{space 3}0.268{col 59}{space 4}-1.986984{col 72}{space 3} .5514179
{txt}{space 13}time {c |}{col 19}{res}{space 2}-6.692804{col 31}{space 2}  2.90228{col 42}{space 1}   -2.31{col 51}{space 3}0.021{col 59}{space 4}-12.38117{col 72}{space 3} -1.00444
{txt}{space 12}time2 {c |}{col 19}{res}{space 2} 11.83869{col 31}{space 2} 6.101678{col 42}{space 1}    1.94{col 51}{space 3}0.052{col 59}{space 4}-.1203802{col 72}{space 3} 23.79776
{txt}{space 12}time3 {c |}{col 19}{res}{space 2}-6.037286{col 31}{space 2} 3.541529{col 42}{space 1}   -1.70{col 51}{space 3}0.088{col 59}{space 4}-12.97856{col 72}{space 3} .9039837
{txt}{space 7}lnpop_1970 {c |}{col 19}{res}{space 2} .3823731{col 31}{space 2} .2623465{col 42}{space 1}    1.46{col 51}{space 3}0.145{col 59}{space 4}-.1318165{col 72}{space 3} .8965628
{txt}{space 5}vote_frejuli {c |}{col 19}{res}{space 2} .0332716{col 31}{space 2} .0134186{col 42}{space 1}    2.48{col 51}{space 3}0.013{col 59}{space 4} .0069717{col 72}{space 3} .0595716
{txt}{space 5}literacy_avg {c |}{col 19}{res}{space 2} 1.758847{col 31}{space 2} 3.624755{col 42}{space 1}    0.49{col 51}{space 3}0.628{col 59}{space 4}-5.345543{col 72}{space 3} 8.863237
{txt}{space 5}lnrebact1974 {c |}{col 19}{res}{space 2} .1163486{col 31}{space 2} .0779964{col 42}{space 1}    1.49{col 51}{space 3}0.136{col 59}{space 4}-.0365214{col 72}{space 3} .2692186
{txt}lnrepression70_77 {c |}{col 19}{res}{space 2} .7482058{col 31}{space 2} .1840651{col 42}{space 1}    4.06{col 51}{space 3}0.000{col 59}{space 4} .3874448{col 72}{space 3} 1.108967
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-14.69131{col 31}{space 2} 3.518109{col 42}{space 1}   -4.18{col 51}{space 3}0.000{col 59}{space 4}-21.58668{col 72}{space 3}-7.795943
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}/lnalpha {c |}{col 19}{res}{space 2} 1.903758{col 31}{space 2} .3324891{col 59}{space 4} 1.252091{col 72}{space 3} 2.555425
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
            alpha {c |}{col 19}{res}{space 2} 6.711066{col 31}{space 2} 2.231356{col 59}{space 4} 3.497649{col 72}{space 3} 12.87677
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         
.         *Model 3 
.         nbreg repression hostcitytime hostcitytime2 hostcitytime3 hostcity time time2 time3 lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77 zone2-zone5, robust                     

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-13317.726}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-12252.308}  (not concave)
Iteration 2:{space 3}log pseudolikelihood = {res:-12129.784}  (not concave)
Iteration 3:{space 3}log pseudolikelihood = {res:-11747.085}  (not concave)
Iteration 4:{space 3}log pseudolikelihood = {res:-11710.056}  (not concave)
Iteration 5:{space 3}log pseudolikelihood = {res:-11510.648}  (not concave)
Iteration 6:{space 3}log pseudolikelihood = {res:-11124.655}  (not concave)
Iteration 7:{space 3}log pseudolikelihood = {res:-10748.428}  (not concave)
Iteration 8:{space 3}log pseudolikelihood = {res:-9621.2909}  (not concave)
Iteration 9:{space 3}log pseudolikelihood = {res:-9062.7764}  (not concave)
Iteration 10:{space 2}log pseudolikelihood = {res:-7757.6918}  (not concave)
Iteration 11:{space 2}log pseudolikelihood = {res:-7610.8937}  (not concave)
Iteration 12:{space 2}log pseudolikelihood = {res:-7203.7884}  (not concave)
Iteration 13:{space 2}log pseudolikelihood = {res:-6677.2891}  (not concave)
Iteration 14:{space 2}log pseudolikelihood = {res:-6056.6839}  (not concave)
Iteration 15:{space 2}log pseudolikelihood = {res:-5904.4753}  (not concave)
Iteration 16:{space 2}log pseudolikelihood = {res:-5694.1126}  
Iteration 17:{space 2}log pseudolikelihood = {res:-3347.2881}  (backed up)
Iteration 18:{space 2}log pseudolikelihood = {res:-2906.9746}  (backed up)
Iteration 19:{space 2}log pseudolikelihood = {res:-1800.4122}  
Iteration 20:{space 2}log pseudolikelihood = {res:-1797.4701}  
Iteration 21:{space 2}log pseudolikelihood = {res: -1118.241}  
Iteration 22:{space 2}log pseudolikelihood = {res:-1083.7351}  
Iteration 23:{space 2}log pseudolikelihood = {res:-1082.7411}  
Iteration 24:{space 2}log pseudolikelihood = {res:-1082.7375}  
Iteration 25:{space 2}log pseudolikelihood = {res:-1082.7375}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -1829.657}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1488.4935}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1487.9062}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1487.9059}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1487.9059}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1379.3855}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1237.2719}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1030.9172}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1012.1693}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1006.8185}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1006.7549}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1006.7548}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}    56,394
{txt}{col 49}Wald chi2({res}16{txt}){col 67}= {res}    758.71
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1006.7548{txt}{col 49}Pseudo R2{col 67}= {res}    0.3234

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}       repression{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}hostcitytime {c |}{col 19}{res}{space 2}  1.81822{col 31}{space 2} 5.121254{col 42}{space 1}    0.36{col 51}{space 3}0.723{col 59}{space 4}-8.219253{col 72}{space 3} 11.85569
{txt}{space 4}hostcitytime2 {c |}{col 19}{res}{space 2}  6.59075{col 31}{space 2} 11.48992{col 42}{space 1}    0.57{col 51}{space 3}0.566{col 59}{space 4}-15.92908{col 72}{space 3} 29.11058
{txt}{space 4}hostcitytime3 {c |}{col 19}{res}{space 2}-7.799054{col 31}{space 2} 6.980748{col 42}{space 1}   -1.12{col 51}{space 3}0.264{col 59}{space 4}-21.48107{col 72}{space 3} 5.882961
{txt}{space 9}hostcity {c |}{col 19}{res}{space 2}-.7015673{col 31}{space 2} .6376684{col 42}{space 1}   -1.10{col 51}{space 3}0.271{col 59}{space 4}-1.951375{col 72}{space 3} .5482399
{txt}{space 13}time {c |}{col 19}{res}{space 2}-6.797144{col 31}{space 2} 2.888212{col 42}{space 1}   -2.35{col 51}{space 3}0.019{col 59}{space 4}-12.45793{col 72}{space 3}-1.136353
{txt}{space 12}time2 {c |}{col 19}{res}{space 2} 12.07412{col 31}{space 2} 6.048879{col 42}{space 1}    2.00{col 51}{space 3}0.046{col 59}{space 4} .2185393{col 72}{space 3} 23.92971
{txt}{space 12}time3 {c |}{col 19}{res}{space 2} -6.17343{col 31}{space 2} 3.502173{col 42}{space 1}   -1.76{col 51}{space 3}0.078{col 59}{space 4}-13.03756{col 72}{space 3} .6907033
{txt}{space 7}lnpop_1970 {c |}{col 19}{res}{space 2} .3713545{col 31}{space 2} .2465743{col 42}{space 1}    1.51{col 51}{space 3}0.132{col 59}{space 4}-.1119222{col 72}{space 3} .8546312
{txt}{space 5}vote_frejuli {c |}{col 19}{res}{space 2} .0379557{col 31}{space 2} .0131803{col 42}{space 1}    2.88{col 51}{space 3}0.004{col 59}{space 4} .0121229{col 72}{space 3} .0637886
{txt}{space 5}literacy_avg {c |}{col 19}{res}{space 2} 1.090197{col 31}{space 2} 3.320111{col 42}{space 1}    0.33{col 51}{space 3}0.743{col 59}{space 4}-5.417102{col 72}{space 3} 7.597496
{txt}{space 5}lnrebact1974 {c |}{col 19}{res}{space 2}-.0539665{col 31}{space 2} .0716781{col 42}{space 1}   -0.75{col 51}{space 3}0.452{col 59}{space 4}-.1944529{col 72}{space 3}   .08652
{txt}lnrepression70_77 {c |}{col 19}{res}{space 2} .7006836{col 31}{space 2} .1929859{col 42}{space 1}    3.63{col 51}{space 3}0.000{col 59}{space 4} .3224382{col 72}{space 3} 1.078929
{txt}{space 12}zone2 {c |}{col 19}{res}{space 2}-2.079315{col 31}{space 2} .4130525{col 42}{space 1}   -5.03{col 51}{space 3}0.000{col 59}{space 4}-2.888883{col 72}{space 3}-1.269747
{txt}{space 12}zone3 {c |}{col 19}{res}{space 2}-.9298491{col 31}{space 2} .2575404{col 42}{space 1}   -3.61{col 51}{space 3}0.000{col 59}{space 4}-1.434619{col 72}{space 3}-.4250792
{txt}{space 12}zone4 {c |}{col 19}{res}{space 2}-.3972114{col 31}{space 2} .2632768{col 42}{space 1}   -1.51{col 51}{space 3}0.131{col 59}{space 4}-.9132245{col 72}{space 3} .1188017
{txt}{space 12}zone5 {c |}{col 19}{res}{space 2}-.9116142{col 31}{space 2} .4810891{col 42}{space 1}   -1.89{col 51}{space 3}0.058{col 59}{space 4}-1.854531{col 72}{space 3} .0313031
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-13.01486{col 31}{space 2} 3.455363{col 42}{space 1}   -3.77{col 51}{space 3}0.000{col 59}{space 4}-19.78725{col 72}{space 3}-6.242479
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}/lnalpha {c |}{col 19}{res}{space 2} 1.737842{col 31}{space 2} .3275402{col 59}{space 4} 1.095875{col 72}{space 3} 2.379809
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
            alpha {c |}{col 19}{res}{space 2} 5.685064{col 31}{space 2} 1.862087{col 59}{space 4} 2.991801{col 72}{space 3} 10.80284
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         
.         *Model 4 
.         reg lnrepression hostcitytime hostcitytime2 hostcitytime3 hostcity time time2 time3, robust

{txt}Linear regression                               Number of obs     = {res}    58,107
                                                {txt}F(7, 58099)       =  {res}    10.48
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0512
                                                {txt}Root MSE          =    {res} .05142

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1} lnrepression{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}hostcitytime {c |}{col 15}{res}{space 2}-.6819342{col 27}{space 2} .3469032{col 38}{space 1}   -1.97{col 47}{space 3}0.049{col 55}{space 4}-1.361866{col 68}{space 3}-.0020022
{txt}hostcitytime2 {c |}{col 15}{res}{space 2} 1.962168{col 27}{space 2} .7282479{col 38}{space 1}    2.69{col 47}{space 3}0.007{col 55}{space 4} .5347989{col 68}{space 3} 3.389538
{txt}hostcitytime3 {c |}{col 15}{res}{space 2}-1.291033{col 27}{space 2} .4144248{col 38}{space 1}   -3.12{col 47}{space 3}0.002{col 55}{space 4}-2.103307{col 68}{space 3}-.4787582
{txt}{space 5}hostcity {c |}{col 15}{res}{space 2} .1289582{col 27}{space 2}   .04351{col 38}{space 1}    2.96{col 47}{space 3}0.003{col 55}{space 4} .0436784{col 68}{space 3} .2142379
{txt}{space 9}time {c |}{col 15}{res}{space 2}-.0130118{col 27}{space 2}  .006333{col 38}{space 1}   -2.05{col 47}{space 3}0.040{col 55}{space 4}-.0254246{col 68}{space 3}-.0005991
{txt}{space 8}time2 {c |}{col 15}{res}{space 2} .0234737{col 27}{space 2}  .011962{col 38}{space 1}    1.96{col 47}{space 3}0.050{col 55}{space 4} .0000281{col 68}{space 3} .0469193
{txt}{space 8}time3 {c |}{col 15}{res}{space 2}-.0121192{col 27}{space 2} .0065045{col 38}{space 1}   -1.86{col 47}{space 3}0.062{col 55}{space 4} -.024868{col 68}{space 3} .0006296
{txt}{space 8}_cons {c |}{col 15}{res}{space 2} .0035904{col 27}{space 2}  .000938{col 38}{space 1}    3.83{col 47}{space 3}0.000{col 55}{space 4}  .001752{col 68}{space 3} .0054288
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         *Model 5 
.         reg lnrepression hostcitytime hostcitytime2 hostcitytime3 hostcity time time2 time3 lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77, robust

{txt}Linear regression                               Number of obs     = {res}    56,394
                                                {txt}F(12, 56381)      =  {res}    14.79
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0642
                                                {txt}Root MSE          =    {res} .05176

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}     lnrepression{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}hostcitytime {c |}{col 19}{res}{space 2}-.6817815{col 31}{space 2} .3438815{col 42}{space 1}   -1.98{col 51}{space 3}0.047{col 59}{space 4}-1.355791{col 72}{space 3}-.0077717
{txt}{space 4}hostcitytime2 {c |}{col 19}{res}{space 2} 1.962127{col 31}{space 2} .7226542{col 42}{space 1}    2.72{col 51}{space 3}0.007{col 59}{space 4} .5457204{col 72}{space 3} 3.378534
{txt}{space 4}hostcitytime3 {c |}{col 19}{res}{space 2}-1.291092{col 31}{space 2} .4114408{col 42}{space 1}   -3.14{col 51}{space 3}0.002{col 59}{space 4}-2.097519{col 72}{space 3}-.4846658
{txt}{space 9}hostcity {c |}{col 19}{res}{space 2} .1050885{col 31}{space 2} .0429096{col 42}{space 1}    2.45{col 51}{space 3}0.014{col 59}{space 4} .0209855{col 72}{space 3} .1891914
{txt}{space 13}time {c |}{col 19}{res}{space 2}-.0131646{col 31}{space 2} .0064504{col 42}{space 1}   -2.04{col 51}{space 3}0.041{col 59}{space 4}-.0258074{col 72}{space 3}-.0005217
{txt}{space 12}time2 {c |}{col 19}{res}{space 2}  .023515{col 31}{space 2} .0121877{col 42}{space 1}    1.93{col 51}{space 3}0.054{col 59}{space 4} -.000373{col 72}{space 3}  .047403
{txt}{space 12}time3 {c |}{col 19}{res}{space 2}-.0120597{col 31}{space 2} .0066299{col 42}{space 1}   -1.82{col 51}{space 3}0.069{col 59}{space 4}-.0250543{col 72}{space 3} .0009349
{txt}{space 7}lnpop_1970 {c |}{col 19}{res}{space 2} .0009697{col 31}{space 2} .0002091{col 42}{space 1}    4.64{col 51}{space 3}0.000{col 59}{space 4} .0005599{col 72}{space 3} .0013794
{txt}{space 5}vote_frejuli {c |}{col 19}{res}{space 2}-.0000322{col 31}{space 2} .0000186{col 42}{space 1}   -1.73{col 51}{space 3}0.083{col 59}{space 4}-.0000686{col 72}{space 3} 4.20e-06
{txt}{space 5}literacy_avg {c |}{col 19}{res}{space 2}-.0055594{col 31}{space 2} .0010719{col 42}{space 1}   -5.19{col 51}{space 3}0.000{col 59}{space 4}-.0076603{col 72}{space 3}-.0034585
{txt}{space 5}lnrebact1974 {c |}{col 19}{res}{space 2}-.0001207{col 31}{space 2} .0001281{col 42}{space 1}   -0.94{col 51}{space 3}0.346{col 59}{space 4}-.0003718{col 72}{space 3} .0001303
{txt}lnrepression70_77 {c |}{col 19}{res}{space 2} .0040788{col 31}{space 2} .0003768{col 42}{space 1}   10.83{col 51}{space 3}0.000{col 59}{space 4} .0033404{col 72}{space 3} .0048172
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-.0030613{col 31}{space 2} .0021087{col 42}{space 1}   -1.45{col 51}{space 3}0.147{col 59}{space 4}-.0071943{col 72}{space 3} .0010717
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         *Model 6 
.         reg lnrepression hostcitytime hostcitytime2 hostcitytime3 hostcity time time2 time3 lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77 zone2-zone5, robust                     

{txt}Linear regression                               Number of obs     = {res}    56,394
                                                {txt}F(16, 56377)      =  {res}    11.44
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0689
                                                {txt}Root MSE          =    {res} .05163

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}     lnrepression{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}hostcitytime {c |}{col 19}{res}{space 2}-.6817815{col 31}{space 2} .3404022{col 42}{space 1}   -2.00{col 51}{space 3}0.045{col 59}{space 4}-1.348972{col 72}{space 3} -.014591
{txt}{space 4}hostcitytime2 {c |}{col 19}{res}{space 2} 1.962127{col 31}{space 2} .7161653{col 42}{space 1}    2.74{col 51}{space 3}0.006{col 59}{space 4} .5584387{col 72}{space 3} 3.365815
{txt}{space 4}hostcitytime3 {c |}{col 19}{res}{space 2}-1.291092{col 31}{space 2}  .407957{col 42}{space 1}   -3.16{col 51}{space 3}0.002{col 59}{space 4} -2.09069{col 72}{space 3}-.4914942
{txt}{space 9}hostcity {c |}{col 19}{res}{space 2} .1047489{col 31}{space 2} .0423669{col 42}{space 1}    2.47{col 51}{space 3}0.013{col 59}{space 4} .0217096{col 72}{space 3} .1877883
{txt}{space 13}time {c |}{col 19}{res}{space 2}-.0131646{col 31}{space 2} .0064492{col 42}{space 1}   -2.04{col 51}{space 3}0.041{col 59}{space 4} -.025805{col 72}{space 3}-.0005241
{txt}{space 12}time2 {c |}{col 19}{res}{space 2}  .023515{col 31}{space 2} .0121836{col 42}{space 1}    1.93{col 51}{space 3}0.054{col 59}{space 4} -.000365{col 72}{space 3} .0473949
{txt}{space 12}time3 {c |}{col 19}{res}{space 2}-.0120597{col 31}{space 2} .0066272{col 42}{space 1}   -1.82{col 51}{space 3}0.069{col 59}{space 4}-.0250491{col 72}{space 3} .0009297
{txt}{space 7}lnpop_1970 {c |}{col 19}{res}{space 2}  .003262{col 31}{space 2} .0004105{col 42}{space 1}    7.95{col 51}{space 3}0.000{col 59}{space 4} .0024574{col 72}{space 3} .0040667
{txt}{space 5}vote_frejuli {c |}{col 19}{res}{space 2} .0000105{col 31}{space 2} .0000242{col 42}{space 1}    0.43{col 51}{space 3}0.665{col 59}{space 4}-.0000369{col 72}{space 3} .0000578
{txt}{space 5}literacy_avg {c |}{col 19}{res}{space 2}-.0231255{col 31}{space 2} .0024771{col 42}{space 1}   -9.34{col 51}{space 3}0.000{col 59}{space 4}-.0279805{col 72}{space 3}-.0182704
{txt}{space 5}lnrebact1974 {c |}{col 19}{res}{space 2}-.0013956{col 31}{space 2}  .000203{col 42}{space 1}   -6.87{col 51}{space 3}0.000{col 59}{space 4}-.0017935{col 72}{space 3}-.0009977
{txt}lnrepression70_77 {c |}{col 19}{res}{space 2} .0031634{col 31}{space 2} .0003827{col 42}{space 1}    8.27{col 51}{space 3}0.000{col 59}{space 4} .0024133{col 72}{space 3} .0039135
{txt}{space 12}zone2 {c |}{col 19}{res}{space 2}-.0146726{col 31}{space 2} .0015295{col 42}{space 1}   -9.59{col 51}{space 3}0.000{col 59}{space 4}-.0176704{col 72}{space 3}-.0116748
{txt}{space 12}zone3 {c |}{col 19}{res}{space 2}-.0116879{col 31}{space 2} .0012864{col 42}{space 1}   -9.09{col 51}{space 3}0.000{col 59}{space 4}-.0142094{col 72}{space 3}-.0091665
{txt}{space 12}zone4 {c |}{col 19}{res}{space 2}-.0081664{col 31}{space 2} .0037588{col 42}{space 1}   -2.17{col 51}{space 3}0.030{col 59}{space 4}-.0155337{col 72}{space 3} -.000799
{txt}{space 12}zone5 {c |}{col 19}{res}{space 2}-.0092478{col 31}{space 2} .0009948{col 42}{space 1}   -9.30{col 51}{space 3}0.000{col 59}{space 4}-.0111976{col 72}{space 3} -.007298
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-.0028893{col 31}{space 2} .0024819{col 42}{space 1}   -1.16{col 51}{space 3}0.244{col 59}{space 4}-.0077538{col 72}{space 3} .0019752
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         
.         
.         ****************************************************************************
.         *Table SI.4.5: Regression results for binary variable of repression
.         ****************************************************************************            
. 
.         *Model 1
.         logit dumrepression hostcitytime hostcitytime2 hostcity time time2, robust

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1316.9727}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1167.4645}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1115.6129}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1115.0662}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1115.0653}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1115.0653}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}    58,107
{txt}{col 49}Wald chi2({res}5{txt}){col 67}= {res}    712.19
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1115.0653{txt}{col 49}Pseudo R2{col 67}= {res}    0.1533

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}dumrepression{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}hostcitytime {c |}{col 15}{res}{space 2} 4.140306{col 27}{space 2} 2.080844{col 38}{space 1}    1.99{col 47}{space 3}0.047{col 55}{space 4} .0619265{col 68}{space 3} 8.218686
{txt}hostcitytime2 {c |}{col 15}{res}{space 2} -3.21428{col 27}{space 2} 1.599935{col 38}{space 1}   -2.01{col 47}{space 3}0.045{col 55}{space 4}-6.350095{col 68}{space 3}-.0784639
{txt}{space 5}hostcity {c |}{col 15}{res}{space 2} 3.137635{col 27}{space 2} .5759517{col 38}{space 1}    5.45{col 47}{space 3}0.000{col 55}{space 4}  2.00879{col 68}{space 3} 4.266479
{txt}{space 9}time {c |}{col 15}{res}{space 2}-.8732923{col 27}{space 2} 1.067503{col 38}{space 1}   -0.82{col 47}{space 3}0.413{col 55}{space 4} -2.96556{col 68}{space 3} 1.218975
{txt}{space 8}time2 {c |}{col 15}{res}{space 2} .5354865{col 27}{space 2} .8636909{col 38}{space 1}    0.62{col 47}{space 3}0.535{col 55}{space 4}-1.157317{col 68}{space 3} 2.228289
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-5.850653{col 27}{space 2} .2667357{col 38}{space 1}  -21.93{col 47}{space 3}0.000{col 55}{space 4}-6.373446{col 68}{space 3}-5.327861
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         
.         *Model 2
.         logit dumrepression hostcitytime hostcitytime2 hostcity time time2 lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77, robust  

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1305.4117}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1053.5949}  
Iteration 2:{space 3}log pseudolikelihood = {res:-897.93344}  
Iteration 3:{space 3}log pseudolikelihood = {res:-787.40798}  
Iteration 4:{space 3}log pseudolikelihood = {res:  -779.869}  
Iteration 5:{space 3}log pseudolikelihood = {res:-779.72788}  
Iteration 6:{space 3}log pseudolikelihood = {res:-779.72781}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}    56,394
{txt}{col 49}Wald chi2({res}10{txt}){col 67}= {res}    637.21
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-779.72781{txt}{col 49}Pseudo R2{col 67}= {res}    0.4027

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}    dumrepression{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}hostcitytime {c |}{col 19}{res}{space 2} 4.868549{col 31}{space 2} 2.119443{col 42}{space 1}    2.30{col 51}{space 3}0.022{col 59}{space 4} .7145162{col 72}{space 3} 9.022582
{txt}{space 4}hostcitytime2 {c |}{col 19}{res}{space 2} -3.79772{col 31}{space 2} 1.647314{col 42}{space 1}   -2.31{col 51}{space 3}0.021{col 59}{space 4}-7.026396{col 72}{space 3}-.5690435
{txt}{space 9}hostcity {c |}{col 19}{res}{space 2}-1.627395{col 31}{space 2} .6281328{col 42}{space 1}   -2.59{col 51}{space 3}0.010{col 59}{space 4}-2.858513{col 72}{space 3}-.3962777
{txt}{space 13}time {c |}{col 19}{res}{space 2} -.992721{col 31}{space 2} 1.088286{col 42}{space 1}   -0.91{col 51}{space 3}0.362{col 59}{space 4}-3.125722{col 72}{space 3}  1.14028
{txt}{space 12}time2 {c |}{col 19}{res}{space 2}  .618077{col 31}{space 2} .8821673{col 42}{space 1}    0.70{col 51}{space 3}0.484{col 59}{space 4}-1.110939{col 72}{space 3} 2.347093
{txt}{space 7}lnpop_1970 {c |}{col 19}{res}{space 2} .8683347{col 31}{space 2} .2241099{col 42}{space 1}    3.87{col 51}{space 3}0.000{col 59}{space 4} .4290873{col 72}{space 3} 1.307582
{txt}{space 5}vote_frejuli {c |}{col 19}{res}{space 2} .0060991{col 31}{space 2} .0135459{col 42}{space 1}    0.45{col 51}{space 3}0.653{col 59}{space 4}-.0204505{col 72}{space 3} .0326486
{txt}{space 5}literacy_avg {c |}{col 19}{res}{space 2}-.2055165{col 31}{space 2} 3.171787{col 42}{space 1}   -0.06{col 51}{space 3}0.948{col 59}{space 4}-6.422106{col 72}{space 3} 6.011073
{txt}{space 5}lnrebact1974 {c |}{col 19}{res}{space 2} .0485791{col 31}{space 2} .0776303{col 42}{space 1}    0.63{col 51}{space 3}0.531{col 59}{space 4}-.1035735{col 72}{space 3} .2007317
{txt}lnrepression70_77 {c |}{col 19}{res}{space 2} .5775944{col 31}{space 2} .1408898{col 42}{space 1}    4.10{col 51}{space 3}0.000{col 59}{space 4} .3014554{col 72}{space 3} .8537334
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-17.24785{col 31}{space 2} 3.181004{col 42}{space 1}   -5.42{col 51}{space 3}0.000{col 59}{space 4} -23.4825{col 72}{space 3} -11.0132
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         
.         *Model 3
.         logit dumrepression hostcitytime hostcitytime2 hostcity time time2 lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77 zone2-zone5, robust               

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1305.4117}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1027.7444}  
Iteration 2:{space 3}log pseudolikelihood = {res: -862.2263}  
Iteration 3:{space 3}log pseudolikelihood = {res: -769.9338}  
Iteration 4:{space 3}log pseudolikelihood = {res:-765.35931}  
Iteration 5:{space 3}log pseudolikelihood = {res:-765.25383}  
Iteration 6:{space 3}log pseudolikelihood = {res:-765.25382}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}    56,394
{txt}{col 49}Wald chi2({res}14{txt}){col 67}= {res}    791.30
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-765.25382{txt}{col 49}Pseudo R2{col 67}= {res}    0.4138

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}    dumrepression{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}hostcitytime {c |}{col 19}{res}{space 2}  5.37805{col 31}{space 2} 2.266733{col 42}{space 1}    2.37{col 51}{space 3}0.018{col 59}{space 4} .9353348{col 72}{space 3} 9.820766
{txt}{space 4}hostcitytime2 {c |}{col 19}{res}{space 2}-4.217318{col 31}{space 2} 1.773781{col 42}{space 1}   -2.38{col 51}{space 3}0.017{col 59}{space 4}-7.693866{col 72}{space 3}-.7407707
{txt}{space 9}hostcity {c |}{col 19}{res}{space 2} -1.32725{col 31}{space 2} .6899336{col 42}{space 1}   -1.92{col 51}{space 3}0.054{col 59}{space 4}-2.679495{col 72}{space 3} .0249951
{txt}{space 13}time {c |}{col 19}{res}{space 2}-.9924419{col 31}{space 2} 1.086157{col 42}{space 1}   -0.91{col 51}{space 3}0.361{col 59}{space 4} -3.12127{col 72}{space 3} 1.136387
{txt}{space 12}time2 {c |}{col 19}{res}{space 2} .6179011{col 31}{space 2} .8802183{col 42}{space 1}    0.70{col 51}{space 3}0.483{col 59}{space 4}-1.107295{col 72}{space 3} 2.343097
{txt}{space 7}lnpop_1970 {c |}{col 19}{res}{space 2} .7458543{col 31}{space 2} .2149684{col 42}{space 1}    3.47{col 51}{space 3}0.001{col 59}{space 4}  .324524{col 72}{space 3} 1.167185
{txt}{space 5}vote_frejuli {c |}{col 19}{res}{space 2} .0200147{col 31}{space 2} .0151268{col 42}{space 1}    1.32{col 51}{space 3}0.186{col 59}{space 4}-.0096334{col 72}{space 3} .0496627
{txt}{space 5}literacy_avg {c |}{col 19}{res}{space 2}-.1268255{col 31}{space 2} 3.041522{col 42}{space 1}   -0.04{col 51}{space 3}0.967{col 59}{space 4}  -6.0881{col 72}{space 3} 5.834449
{txt}{space 5}lnrebact1974 {c |}{col 19}{res}{space 2}-.1314902{col 31}{space 2} .0804439{col 42}{space 1}   -1.63{col 51}{space 3}0.102{col 59}{space 4}-.2891574{col 72}{space 3}  .026177
{txt}lnrepression70_77 {c |}{col 19}{res}{space 2} .5452197{col 31}{space 2} .1549359{col 42}{space 1}    3.52{col 51}{space 3}0.000{col 59}{space 4}  .241551{col 72}{space 3} .8488885
{txt}{space 12}zone2 {c |}{col 19}{res}{space 2}-1.999105{col 31}{space 2} .4497579{col 42}{space 1}   -4.44{col 51}{space 3}0.000{col 59}{space 4}-2.880614{col 72}{space 3}-1.117596
{txt}{space 12}zone3 {c |}{col 19}{res}{space 2} -.983153{col 31}{space 2} .2723196{col 42}{space 1}   -3.61{col 51}{space 3}0.000{col 59}{space 4} -1.51689{col 72}{space 3}-.4494164
{txt}{space 12}zone4 {c |}{col 19}{res}{space 2}-.1626239{col 31}{space 2}  .260214{col 42}{space 1}   -0.62{col 51}{space 3}0.532{col 59}{space 4}-.6726339{col 72}{space 3} .3473861
{txt}{space 12}zone5 {c |}{col 19}{res}{space 2}-.7864275{col 31}{space 2} .4845269{col 42}{space 1}   -1.62{col 51}{space 3}0.105{col 59}{space 4}-1.736083{col 72}{space 3} .1632278
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-15.40184{col 31}{space 2} 3.160671{col 42}{space 1}   -4.87{col 51}{space 3}0.000{col 59}{space 4}-21.59664{col 72}{space 3}-9.207043
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         
.         *Model 4
.         reg dumrepression hostcitytime hostcitytime2 hostcity time time2, robust

{txt}Linear regression                               Number of obs     = {res}    58,107
                                                {txt}F(5, 58101)       =  {res}    15.66
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0428
                                                {txt}Root MSE          =    {res} .05687

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}dumrepression{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}hostcitytime {c |}{col 15}{res}{space 2} .3183624{col 27}{space 2} .1578541{col 38}{space 1}    2.02{col 47}{space 3}0.044{col 55}{space 4} .0089677{col 68}{space 3} .6277571
{txt}hostcitytime2 {c |}{col 15}{res}{space 2}-.2615793{col 27}{space 2} .1211026{col 38}{space 1}   -2.16{col 47}{space 3}0.031{col 55}{space 4} -.498941{col 68}{space 3}-.0242177
{txt}{space 5}hostcity {c |}{col 15}{res}{space 2} .0505095{col 27}{space 2}  .040517{col 38}{space 1}    1.25{col 47}{space 3}0.213{col 55}{space 4}-.0289039{col 68}{space 3} .1299229
{txt}{space 9}time {c |}{col 15}{res}{space 2}-.0020507{col 27}{space 2} .0025387{col 38}{space 1}   -0.81{col 47}{space 3}0.419{col 55}{space 4}-.0070266{col 68}{space 3} .0029252
{txt}{space 8}time2 {c |}{col 15}{res}{space 2} .0012655{col 27}{space 2} .0019871{col 38}{space 1}    0.64{col 47}{space 3}0.524{col 55}{space 4}-.0026291{col 68}{space 3} .0051602
{txt}{space 8}_cons {c |}{col 15}{res}{space 2} .0028331{col 27}{space 2} .0006848{col 38}{space 1}    4.14{col 47}{space 3}0.000{col 55}{space 4} .0014909{col 68}{space 3} .0041753
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
.         *Model 5
.         reg dumrepression hostcitytime hostcitytime2 hostcity time time2 lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77, robust    

{txt}Linear regression                               Number of obs     = {res}    56,394
                                                {txt}F(10, 56383)      =  {res}    19.78
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0582
                                                {txt}Root MSE          =    {res} .05712

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}    dumrepression{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}hostcitytime {c |}{col 19}{res}{space 2} .3185988{col 31}{space 2} .1564978{col 42}{space 1}    2.04{col 51}{space 3}0.042{col 59}{space 4} .0118621{col 72}{space 3} .6253355
{txt}{space 4}hostcitytime2 {c |}{col 19}{res}{space 2}-.2617448{col 31}{space 2}  .120081{col 42}{space 1}   -2.18{col 51}{space 3}0.029{col 59}{space 4}-.4971043{col 72}{space 3}-.0263853
{txt}{space 9}hostcity {c |}{col 19}{res}{space 2} .0219268{col 31}{space 2}  .040061{col 42}{space 1}    0.55{col 51}{space 3}0.584{col 59}{space 4} -.056593{col 72}{space 3} .1004465
{txt}{space 13}time {c |}{col 19}{res}{space 2}-.0022871{col 31}{space 2} .0025828{col 42}{space 1}   -0.89{col 51}{space 3}0.376{col 59}{space 4}-.0073494{col 72}{space 3} .0027752
{txt}{space 12}time2 {c |}{col 19}{res}{space 2}  .001431{col 31}{space 2} .0020252{col 42}{space 1}    0.71{col 51}{space 3}0.480{col 59}{space 4}-.0025384{col 72}{space 3} .0054004
{txt}{space 7}lnpop_1970 {c |}{col 19}{res}{space 2} .0012196{col 31}{space 2}   .00021{col 42}{space 1}    5.81{col 51}{space 3}0.000{col 59}{space 4}  .000808{col 72}{space 3} .0016312
{txt}{space 5}vote_frejuli {c |}{col 19}{res}{space 2}-.0000446{col 31}{space 2} .0000196{col 42}{space 1}   -2.27{col 51}{space 3}0.023{col 59}{space 4} -.000083{col 72}{space 3}-6.17e-06
{txt}{space 5}literacy_avg {c |}{col 19}{res}{space 2}-.0065683{col 31}{space 2} .0012493{col 42}{space 1}   -5.26{col 51}{space 3}0.000{col 59}{space 4}-.0090169{col 72}{space 3}-.0041196
{txt}{space 5}lnrebact1974 {c |}{col 19}{res}{space 2}-.0001777{col 31}{space 2}  .000141{col 42}{space 1}   -1.26{col 51}{space 3}0.208{col 59}{space 4} -.000454{col 72}{space 3} .0000986
{txt}lnrepression70_77 {c |}{col 19}{res}{space 2} .0048351{col 31}{space 2} .0004277{col 42}{space 1}   11.31{col 51}{space 3}0.000{col 59}{space 4} .0039968{col 72}{space 3} .0056733
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-.0053004{col 31}{space 2}  .002203{col 42}{space 1}   -2.41{col 51}{space 3}0.016{col 59}{space 4}-.0096182{col 72}{space 3}-.0009825
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         *Model 6
.         reg dumrepression hostcitytime hostcitytime2 hostcity time time2 lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77 zone2-zone5, robust         

{txt}Linear regression                               Number of obs     = {res}    56,394
                                                {txt}F(14, 56379)      =  {res}    14.45
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0630
                                                {txt}Root MSE          =    {res} .05697

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}    dumrepression{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}hostcitytime {c |}{col 19}{res}{space 2} .3185988{col 31}{space 2} .1550674{col 42}{space 1}    2.05{col 51}{space 3}0.040{col 59}{space 4} .0146657{col 72}{space 3} .6225319
{txt}{space 4}hostcitytime2 {c |}{col 19}{res}{space 2}-.2617448{col 31}{space 2} .1190334{col 42}{space 1}   -2.20{col 51}{space 3}0.028{col 59}{space 4} -.495051{col 72}{space 3}-.0284385
{txt}{space 9}hostcity {c |}{col 19}{res}{space 2} .0218956{col 31}{space 2} .0396608{col 42}{space 1}    0.55{col 51}{space 3}0.581{col 59}{space 4}-.0558397{col 72}{space 3}  .099631
{txt}{space 13}time {c |}{col 19}{res}{space 2}-.0022871{col 31}{space 2} .0025834{col 42}{space 1}   -0.89{col 51}{space 3}0.376{col 59}{space 4}-.0073506{col 72}{space 3} .0027765
{txt}{space 12}time2 {c |}{col 19}{res}{space 2}  .001431{col 31}{space 2} .0020254{col 42}{space 1}    0.71{col 51}{space 3}0.480{col 59}{space 4}-.0025388{col 72}{space 3} .0054008
{txt}{space 7}lnpop_1970 {c |}{col 19}{res}{space 2} .0038299{col 31}{space 2} .0004178{col 42}{space 1}    9.17{col 51}{space 3}0.000{col 59}{space 4}  .003011{col 72}{space 3} .0046488
{txt}{space 5}vote_frejuli {c |}{col 19}{res}{space 2}-1.44e-06{col 31}{space 2} .0000268{col 42}{space 1}   -0.05{col 51}{space 3}0.957{col 59}{space 4} -.000054{col 72}{space 3} .0000511
{txt}{space 5}literacy_avg {c |}{col 19}{res}{space 2}-.0265905{col 31}{space 2} .0027006{col 42}{space 1}   -9.85{col 51}{space 3}0.000{col 59}{space 4}-.0318836{col 72}{space 3}-.0212974
{txt}{space 5}lnrebact1974 {c |}{col 19}{res}{space 2}-.0016116{col 31}{space 2}  .000207{col 42}{space 1}   -7.78{col 51}{space 3}0.000{col 59}{space 4}-.0020174{col 72}{space 3}-.0012058
{txt}lnrepression70_77 {c |}{col 19}{res}{space 2} .0037229{col 31}{space 2} .0004242{col 42}{space 1}    8.78{col 51}{space 3}0.000{col 59}{space 4} .0028914{col 72}{space 3} .0045543
{txt}{space 12}zone2 {c |}{col 19}{res}{space 2} -.016541{col 31}{space 2} .0015867{col 42}{space 1}  -10.42{col 51}{space 3}0.000{col 59}{space 4}-.0196509{col 72}{space 3}-.0134311
{txt}{space 12}zone3 {c |}{col 19}{res}{space 2}-.0129158{col 31}{space 2} .0013475{col 42}{space 1}   -9.59{col 51}{space 3}0.000{col 59}{space 4}-.0155568{col 72}{space 3}-.0102747
{txt}{space 12}zone4 {c |}{col 19}{res}{space 2}-.0070929{col 31}{space 2}  .004699{col 42}{space 1}   -1.51{col 51}{space 3}0.131{col 59}{space 4} -.016303{col 72}{space 3} .0021171
{txt}{space 12}zone5 {c |}{col 19}{res}{space 2} -.010226{col 31}{space 2}  .001037{col 42}{space 1}   -9.86{col 51}{space 3}0.000{col 59}{space 4}-.0122585{col 72}{space 3}-.0081936
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-.0050113{col 31}{space 2} .0026652{col 42}{space 1}   -1.88{col 51}{space 3}0.060{col 59}{space 4}-.0102351{col 72}{space 3} .0002125
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         
.         
.         ****************************************************************************
.         *Table SI.4.6: Negative binomial regressions for matched samples
.         ****************************************************************************            
.         
.         *Model 1
.         nbreg repression hostcitytime hostcitytime2 hostcity time time2 if matched_simple==1, robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-988.09325}  
Iteration 1:{space 3}log pseudolikelihood = {res: -948.6995}  
Iteration 2:{space 3}log pseudolikelihood = {res:-948.52886}  
Iteration 3:{space 3}log pseudolikelihood = {res:-948.52876}  
Iteration 4:{space 3}log pseudolikelihood = {res:-948.52876}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-962.19893}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-880.77742}  
Iteration 2:{space 3}log pseudolikelihood = {res:-862.01259}  
Iteration 3:{space 3}log pseudolikelihood = {res:-861.98526}  
Iteration 4:{space 3}log pseudolikelihood = {res:-861.98526}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-831.66306}  
Iteration 1:{space 3}log pseudolikelihood = {res:-824.16905}  
Iteration 2:{space 3}log pseudolikelihood = {res: -823.4018}  
Iteration 3:{space 3}log pseudolikelihood = {res:-823.39902}  
Iteration 4:{space 3}log pseudolikelihood = {res:-823.39902}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     4,095
{txt}{col 49}Wald chi2({res}5{txt}){col 67}= {res}     93.99
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-823.39902{txt}{col 49}Pseudo R2{col 67}= {res}    0.0448

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}   repression{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}hostcitytime {c |}{col 15}{res}{space 2} 6.528483{col 27}{space 2} 2.114177{col 38}{space 1}    3.09{col 47}{space 3}0.002{col 55}{space 4} 2.384772{col 68}{space 3} 10.67219
{txt}hostcitytime2 {c |}{col 15}{res}{space 2}-5.365427{col 27}{space 2} 1.711262{col 38}{space 1}   -3.14{col 47}{space 3}0.002{col 55}{space 4}-8.719439{col 68}{space 3}-2.011415
{txt}{space 5}hostcity {c |}{col 15}{res}{space 2} .1937324{col 27}{space 2} .5558487{col 38}{space 1}    0.35{col 47}{space 3}0.727{col 55}{space 4} -.895711{col 68}{space 3} 1.283176
{txt}{space 9}time {c |}{col 15}{res}{space 2}-1.247795{col 27}{space 2} 1.286321{col 38}{space 1}   -0.97{col 47}{space 3}0.332{col 55}{space 4}-3.768939{col 68}{space 3} 1.273349
{txt}{space 8}time2 {c |}{col 15}{res}{space 2} .9746255{col 27}{space 2} 1.054847{col 38}{space 1}    0.92{col 47}{space 3}0.356{col 55}{space 4}-1.092837{col 68}{space 3} 3.042088
{txt}{space 8}_cons {c |}{col 15}{res}{space 2} -2.97816{col 27}{space 2} .3278266{col 38}{space 1}   -9.08{col 47}{space 3}0.000{col 55}{space 4}-3.620689{col 68}{space 3}-2.335632
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}/lnalpha {c |}{col 15}{res}{space 2} 2.344082{col 27}{space 2} .1944646{col 55}{space 4} 1.962938{col 68}{space 3} 2.725226
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
        alpha {c |}{col 15}{res}{space 2}  10.4237{col 27}{space 2} 2.027041{col 55}{space 4} 7.120218{col 68}{space 3} 15.25986
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         
.         *Model 2
.         nbreg repression hostcitytime hostcitytime2 hostcity time time2 lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77 if matched_simple==1, robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1202.9422}  
Iteration 1:{space 3}log pseudolikelihood = {res:-894.26104}  
Iteration 2:{space 3}log pseudolikelihood = {res:-823.69478}  
Iteration 3:{space 3}log pseudolikelihood = {res:-804.13882}  
Iteration 4:{space 3}log pseudolikelihood = {res:-803.96938}  
Iteration 5:{space 3}log pseudolikelihood = {res: -803.9693}  
Iteration 6:{space 3}log pseudolikelihood = {res: -803.9693}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-962.19893}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-880.77742}  
Iteration 2:{space 3}log pseudolikelihood = {res:-862.01259}  
Iteration 3:{space 3}log pseudolikelihood = {res:-861.98526}  
Iteration 4:{space 3}log pseudolikelihood = {res:-861.98526}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -808.3045}  
Iteration 1:{space 3}log pseudolikelihood = {res:-800.17973}  
Iteration 2:{space 3}log pseudolikelihood = {res:-766.78761}  
Iteration 3:{space 3}log pseudolikelihood = {res:-754.36112}  
Iteration 4:{space 3}log pseudolikelihood = {res:-745.61673}  
Iteration 5:{space 3}log pseudolikelihood = {res:-745.15396}  
Iteration 6:{space 3}log pseudolikelihood = {res:-745.15245}  
Iteration 7:{space 3}log pseudolikelihood = {res:-745.15245}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     4,095
{txt}{col 49}Wald chi2({res}10{txt}){col 67}= {res}    230.33
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-745.15245{txt}{col 49}Pseudo R2{col 67}= {res}    0.1355

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}       repression{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}hostcitytime {c |}{col 19}{res}{space 2} 6.808372{col 31}{space 2} 1.994592{col 42}{space 1}    3.41{col 51}{space 3}0.001{col 59}{space 4} 2.899043{col 72}{space 3}  10.7177
{txt}{space 4}hostcitytime2 {c |}{col 19}{res}{space 2}-5.681586{col 31}{space 2} 1.596173{col 42}{space 1}   -3.56{col 51}{space 3}0.000{col 59}{space 4}-8.810027{col 72}{space 3}-2.553145
{txt}{space 9}hostcity {c |}{col 19}{res}{space 2} -1.67977{col 31}{space 2} .6570855{col 42}{space 1}   -2.56{col 51}{space 3}0.011{col 59}{space 4}-2.967633{col 72}{space 3}-.3919057
{txt}{space 13}time {c |}{col 19}{res}{space 2}-1.127689{col 31}{space 2} 1.244046{col 42}{space 1}   -0.91{col 51}{space 3}0.365{col 59}{space 4}-3.565975{col 72}{space 3} 1.310597
{txt}{space 12}time2 {c |}{col 19}{res}{space 2} .8675825{col 31}{space 2} 1.028659{col 42}{space 1}    0.84{col 51}{space 3}0.399{col 59}{space 4}-1.148552{col 72}{space 3} 2.883717
{txt}{space 7}lnpop_1970 {c |}{col 19}{res}{space 2} 1.256872{col 31}{space 2} .2735722{col 42}{space 1}    4.59{col 51}{space 3}0.000{col 59}{space 4} .7206804{col 72}{space 3} 1.793064
{txt}{space 5}vote_frejuli {c |}{col 19}{res}{space 2} .0010307{col 31}{space 2} .0197999{col 42}{space 1}    0.05{col 51}{space 3}0.958{col 59}{space 4}-.0377763{col 72}{space 3} .0398377
{txt}{space 5}literacy_avg {c |}{col 19}{res}{space 2} .1016318{col 31}{space 2} 6.738726{col 42}{space 1}    0.02{col 51}{space 3}0.988{col 59}{space 4}-13.10603{col 72}{space 3} 13.30929
{txt}{space 5}lnrebact1974 {c |}{col 19}{res}{space 2} .2295473{col 31}{space 2} .1261676{col 42}{space 1}    1.82{col 51}{space 3}0.069{col 59}{space 4}-.0177366{col 72}{space 3} .4768312
{txt}lnrepression70_77 {c |}{col 19}{res}{space 2} .1526764{col 31}{space 2} .1168101{col 42}{space 1}    1.31{col 51}{space 3}0.191{col 59}{space 4}-.0762673{col 72}{space 3}   .38162
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-20.61947{col 31}{space 2} 5.256728{col 42}{space 1}   -3.92{col 51}{space 3}0.000{col 59}{space 4}-30.92247{col 72}{space 3}-10.31648
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}/lnalpha {c |}{col 19}{res}{space 2} 1.417427{col 31}{space 2} .2831535{col 59}{space 4} .8624567{col 72}{space 3} 1.972398
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
            alpha {c |}{col 19}{res}{space 2} 4.126491{col 31}{space 2}  1.16843{col 59}{space 4} 2.368973{col 72}{space 3} 7.187893
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.                 
.         *Model 3
.         nbreg repression hostcitytime hostcitytime2 hostcity time time2 lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77 zone2-zone5 if matched_simple==1, robust                    

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1382.3309}  
Iteration 1:{space 3}log pseudolikelihood = {res:-910.85237}  
Iteration 2:{space 3}log pseudolikelihood = {res:-830.32071}  
Iteration 3:{space 3}log pseudolikelihood = {res:-783.23735}  
Iteration 4:{space 3}log pseudolikelihood = {res:-782.49144}  
Iteration 5:{space 3}log pseudolikelihood = {res:-782.48597}  
Iteration 6:{space 3}log pseudolikelihood = {res:-782.48596}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-962.19893}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-880.77742}  
Iteration 2:{space 3}log pseudolikelihood = {res:-862.01259}  
Iteration 3:{space 3}log pseudolikelihood = {res:-861.98526}  
Iteration 4:{space 3}log pseudolikelihood = {res:-861.98526}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-798.19306}  
Iteration 1:{space 3}log pseudolikelihood = {res:-754.59828}  
Iteration 2:{space 3}log pseudolikelihood = {res:-730.55532}  
Iteration 3:{space 3}log pseudolikelihood = {res:-726.46643}  
Iteration 4:{space 3}log pseudolikelihood = {res:-726.23708}  
Iteration 5:{space 3}log pseudolikelihood = {res:-726.23643}  
Iteration 6:{space 3}log pseudolikelihood = {res:-726.23643}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     4,095
{txt}{col 49}Wald chi2({res}14{txt}){col 67}= {res}    434.15
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-726.23643{txt}{col 49}Pseudo R2{col 67}= {res}    0.1575

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}       repression{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}hostcitytime {c |}{col 19}{res}{space 2} 7.416626{col 31}{space 2} 2.017483{col 42}{space 1}    3.68{col 51}{space 3}0.000{col 59}{space 4} 3.462431{col 72}{space 3} 11.37082
{txt}{space 4}hostcitytime2 {c |}{col 19}{res}{space 2}-6.221444{col 31}{space 2} 1.635352{col 42}{space 1}   -3.80{col 51}{space 3}0.000{col 59}{space 4}-9.426674{col 72}{space 3}-3.016213
{txt}{space 9}hostcity {c |}{col 19}{res}{space 2}-1.137444{col 31}{space 2} .6352038{col 42}{space 1}   -1.79{col 51}{space 3}0.073{col 59}{space 4} -2.38242{col 72}{space 3} .1075328
{txt}{space 13}time {c |}{col 19}{res}{space 2}-1.124105{col 31}{space 2} 1.242204{col 42}{space 1}   -0.90{col 51}{space 3}0.366{col 59}{space 4} -3.55878{col 72}{space 3} 1.310571
{txt}{space 12}time2 {c |}{col 19}{res}{space 2} .8659617{col 31}{space 2} 1.017163{col 42}{space 1}    0.85{col 51}{space 3}0.395{col 59}{space 4}-1.127642{col 72}{space 3} 2.859565
{txt}{space 7}lnpop_1970 {c |}{col 19}{res}{space 2} .7660241{col 31}{space 2} .2506491{col 42}{space 1}    3.06{col 51}{space 3}0.002{col 59}{space 4} .2747609{col 72}{space 3} 1.257287
{txt}{space 5}vote_frejuli {c |}{col 19}{res}{space 2} .0226204{col 31}{space 2} .0200262{col 42}{space 1}    1.13{col 51}{space 3}0.259{col 59}{space 4}-.0166302{col 72}{space 3} .0618711
{txt}{space 5}literacy_avg {c |}{col 19}{res}{space 2} 2.374589{col 31}{space 2} 6.560108{col 42}{space 1}    0.36{col 51}{space 3}0.717{col 59}{space 4}-10.48299{col 72}{space 3} 15.23216
{txt}{space 5}lnrebact1974 {c |}{col 19}{res}{space 2} -.119807{col 31}{space 2} .1079323{col 42}{space 1}   -1.11{col 51}{space 3}0.267{col 59}{space 4}-.3313504{col 72}{space 3} .0917363
{txt}lnrepression70_77 {c |}{col 19}{res}{space 2} .1263964{col 31}{space 2} .1777314{col 42}{space 1}    0.71{col 51}{space 3}0.477{col 59}{space 4}-.2219507{col 72}{space 3} .4747436
{txt}{space 12}zone2 {c |}{col 19}{res}{space 2}-2.575322{col 31}{space 2}  .585521{col 42}{space 1}   -4.40{col 51}{space 3}0.000{col 59}{space 4}-3.722923{col 72}{space 3}-1.427722
{txt}{space 12}zone3 {c |}{col 19}{res}{space 2}-1.434987{col 31}{space 2} .3613765{col 42}{space 1}   -3.97{col 51}{space 3}0.000{col 59}{space 4}-2.143272{col 72}{space 3}-.7267018
{txt}{space 12}zone4 {c |}{col 19}{res}{space 2}-.5229234{col 31}{space 2} .2955917{col 42}{space 1}   -1.77{col 51}{space 3}0.077{col 59}{space 4}-1.102273{col 72}{space 3} .0564257
{txt}{space 12}zone5 {c |}{col 19}{res}{space 2}-1.479793{col 31}{space 2} .6598051{col 42}{space 1}   -2.24{col 51}{space 3}0.025{col 59}{space 4}-2.772987{col 72}{space 3}-.1865986
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-15.44112{col 31}{space 2}  5.78362{col 42}{space 1}   -2.67{col 51}{space 3}0.008{col 59}{space 4}-26.77681{col 72}{space 3}-4.105438
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}/lnalpha {c |}{col 19}{res}{space 2}  1.33098{col 31}{space 2} .2666287{col 59}{space 4} .8083978{col 72}{space 3} 1.853563
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
            alpha {c |}{col 19}{res}{space 2} 3.784752{col 31}{space 2} 1.009124{col 59}{space 4} 2.244309{col 72}{space 3} 6.382521
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         
.         *Model 4
.         nbreg repression hostcitytime hostcitytime2 hostcity time time2 if matched_allhosts==1, robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -775.5294}  
Iteration 1:{space 3}log pseudolikelihood = {res:-775.38107}  
Iteration 2:{space 3}log pseudolikelihood = {res:  -775.381}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-756.15193}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-699.24803}  
Iteration 2:{space 3}log pseudolikelihood = {res:-693.07956}  
Iteration 3:{space 3}log pseudolikelihood = {res:-692.67714}  
Iteration 4:{space 3}log pseudolikelihood = {res:-692.67691}  
Iteration 5:{space 3}log pseudolikelihood = {res:-692.67691}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-675.24294}  
Iteration 1:{space 3}log pseudolikelihood = {res:-672.25451}  
Iteration 2:{space 3}log pseudolikelihood = {res:-672.16186}  
Iteration 3:{space 3}log pseudolikelihood = {res:-672.16182}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     2,223
{txt}{col 49}Wald chi2({res}5{txt}){col 67}= {res}     43.98
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-672.16182{txt}{col 49}Pseudo R2{col 67}= {res}    0.0296

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}   repression{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}hostcitytime {c |}{col 15}{res}{space 2} 6.965075{col 27}{space 2} 2.174092{col 38}{space 1}    3.20{col 47}{space 3}0.001{col 55}{space 4} 2.703934{col 68}{space 3} 11.22622
{txt}hostcitytime2 {c |}{col 15}{res}{space 2} -5.53955{col 27}{space 2} 1.750661{col 38}{space 1}   -3.16{col 47}{space 3}0.002{col 55}{space 4}-8.970781{col 68}{space 3}-2.108318
{txt}{space 5}hostcity {c |}{col 15}{res}{space 2}-.5331946{col 27}{space 2} .5739482{col 38}{space 1}   -0.93{col 47}{space 3}0.353{col 55}{space 4}-1.658112{col 68}{space 3} .5917232
{txt}{space 9}time {c |}{col 15}{res}{space 2}-1.683454{col 27}{space 2} 1.359706{col 38}{space 1}   -1.24{col 47}{space 3}0.216{col 55}{space 4}-4.348429{col 68}{space 3} .9815214
{txt}{space 8}time2 {c |}{col 15}{res}{space 2} 1.183884{col 27}{space 2} 1.126491{col 38}{space 1}    1.05{col 47}{space 3}0.293{col 55}{space 4}-1.023999{col 68}{space 3} 3.391766
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-2.268107{col 27}{space 2} .3413119{col 38}{space 1}   -6.65{col 47}{space 3}0.000{col 55}{space 4}-2.937066{col 68}{space 3}-1.599148
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}/lnalpha {c |}{col 15}{res}{space 2} 2.048341{col 27}{space 2} .1835139{col 55}{space 4} 1.688661{col 68}{space 3} 2.408022
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
        alpha {c |}{col 15}{res}{space 2} 7.755028{col 27}{space 2} 1.423156{col 55}{space 4} 5.412227{col 68}{space 3} 11.11196
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         
.         *Model 5
.         nbreg repression hostcitytime hostcitytime2 hostcity time time2 lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77 if matched_allhosts==1, robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-923.64741}  
Iteration 1:{space 3}log pseudolikelihood = {res:-725.85118}  
Iteration 2:{space 3}log pseudolikelihood = {res:-668.48586}  
Iteration 3:{space 3}log pseudolikelihood = {res:-666.78691}  
Iteration 4:{space 3}log pseudolikelihood = {res:-666.78349}  
Iteration 5:{space 3}log pseudolikelihood = {res:-666.78349}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-756.15193}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-699.24803}  
Iteration 2:{space 3}log pseudolikelihood = {res:-693.07956}  
Iteration 3:{space 3}log pseudolikelihood = {res:-692.67714}  
Iteration 4:{space 3}log pseudolikelihood = {res:-692.67691}  
Iteration 5:{space 3}log pseudolikelihood = {res:-692.67691}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-654.59135}  
Iteration 1:{space 3}log pseudolikelihood = {res:-642.48523}  
Iteration 2:{space 3}log pseudolikelihood = {res:-620.18708}  
Iteration 3:{space 3}log pseudolikelihood = {res:-617.90744}  
Iteration 4:{space 3}log pseudolikelihood = {res:-617.81616}  
Iteration 5:{space 3}log pseudolikelihood = {res:-617.81611}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     2,223
{txt}{col 49}Wald chi2({res}10{txt}){col 67}= {res}    166.30
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-617.81611{txt}{col 49}Pseudo R2{col 67}= {res}    0.1081

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}       repression{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}hostcitytime {c |}{col 19}{res}{space 2} 7.331716{col 31}{space 2} 2.037525{col 42}{space 1}    3.60{col 51}{space 3}0.000{col 59}{space 4}  3.33824{col 72}{space 3} 11.32519
{txt}{space 4}hostcitytime2 {c |}{col 19}{res}{space 2}-5.903428{col 31}{space 2} 1.629432{col 42}{space 1}   -3.62{col 51}{space 3}0.000{col 59}{space 4}-9.097056{col 72}{space 3}-2.709799
{txt}{space 9}hostcity {c |}{col 19}{res}{space 2}-1.715096{col 31}{space 2} .7005489{col 42}{space 1}   -2.45{col 51}{space 3}0.014{col 59}{space 4}-3.088146{col 72}{space 3}-.3420449
{txt}{space 13}time {c |}{col 19}{res}{space 2}-1.655594{col 31}{space 2} 1.330528{col 42}{space 1}   -1.24{col 51}{space 3}0.213{col 59}{space 4}-4.263381{col 72}{space 3} .9521922
{txt}{space 12}time2 {c |}{col 19}{res}{space 2} 1.118255{col 31}{space 2} 1.091934{col 42}{space 1}    1.02{col 51}{space 3}0.306{col 59}{space 4}-1.021897{col 72}{space 3} 3.258407
{txt}{space 7}lnpop_1970 {c |}{col 19}{res}{space 2} 1.373008{col 31}{space 2} .3632049{col 42}{space 1}    3.78{col 51}{space 3}0.000{col 59}{space 4} .6611399{col 72}{space 3} 2.084877
{txt}{space 5}vote_frejuli {c |}{col 19}{res}{space 2} .0094711{col 31}{space 2} .0255105{col 42}{space 1}    0.37{col 51}{space 3}0.710{col 59}{space 4}-.0405285{col 72}{space 3} .0594708
{txt}{space 5}literacy_avg {c |}{col 19}{res}{space 2} 5.520819{col 31}{space 2}  7.99725{col 42}{space 1}    0.69{col 51}{space 3}0.490{col 59}{space 4} -10.1535{col 72}{space 3} 21.19514
{txt}{space 5}lnrebact1974 {c |}{col 19}{res}{space 2} .4324312{col 31}{space 2} .3240372{col 42}{space 1}    1.33{col 51}{space 3}0.182{col 59}{space 4}  -.20267{col 72}{space 3} 1.067532
{txt}lnrepression70_77 {c |}{col 19}{res}{space 2} .1194498{col 31}{space 2} .2372875{col 42}{space 1}    0.50{col 51}{space 3}0.615{col 59}{space 4}-.3456252{col 72}{space 3} .5845248
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-27.81829{col 31}{space 2} 6.743369{col 42}{space 1}   -4.13{col 51}{space 3}0.000{col 59}{space 4}-41.03505{col 72}{space 3}-14.60153
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}/lnalpha {c |}{col 19}{res}{space 2} 1.214983{col 31}{space 2} .2936948{col 59}{space 4} .6393514{col 72}{space 3} 1.790614
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
            alpha {c |}{col 19}{res}{space 2} 3.370235{col 31}{space 2} .9898206{col 59}{space 4} 1.895251{col 72}{space 3}  5.99313
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.                 
.         *Model 6
.         nbreg repression hostcitytime hostcitytime2 hostcity time time2 lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77 zone2-zone5 if matched_allhosts==1, robust                  

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1042.1924}  
Iteration 1:{space 3}log pseudolikelihood = {res:-749.83497}  
Iteration 2:{space 3}log pseudolikelihood = {res:-656.85163}  
Iteration 3:{space 3}log pseudolikelihood = {res:-651.54123}  
Iteration 4:{space 3}log pseudolikelihood = {res:-651.48323}  
Iteration 5:{space 3}log pseudolikelihood = {res:-651.48093}  
Iteration 6:{space 3}log pseudolikelihood = {res:-651.48078}  
Iteration 7:{space 3}log pseudolikelihood = {res:-651.48075}  
Iteration 8:{space 3}log pseudolikelihood = {res:-651.48074}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-756.15193}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-699.24803}  
Iteration 2:{space 3}log pseudolikelihood = {res:-693.07956}  
Iteration 3:{space 3}log pseudolikelihood = {res:-692.67714}  
Iteration 4:{space 3}log pseudolikelihood = {res:-692.67691}  
Iteration 5:{space 3}log pseudolikelihood = {res:-692.67691}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-692.67691}  
Iteration 1:{space 3}log pseudolikelihood = {res:-611.44395}  
Iteration 2:{space 3}log pseudolikelihood = {res:-605.17418}  
Iteration 3:{space 3}log pseudolikelihood = {res:-604.40138}  
Iteration 4:{space 3}log pseudolikelihood = {res:-604.28234}  
Iteration 5:{space 3}log pseudolikelihood = {res:-604.25824}  
Iteration 6:{space 3}log pseudolikelihood = {res:-604.25302}  
Iteration 7:{space 3}log pseudolikelihood = {res:-604.25185}  
Iteration 8:{space 3}log pseudolikelihood = {res:-604.25156}  
Iteration 9:{space 3}log pseudolikelihood = {res: -604.2515}  
Iteration 10:{space 2}log pseudolikelihood = {res:-604.25149}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     2,223
{txt}{col 49}Wald chi2({res}14{txt}){col 67}= {res}  15731.51
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-604.25149{txt}{col 49}Pseudo R2{col 67}= {res}    0.1277

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}       repression{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}hostcitytime {c |}{col 19}{res}{space 2}  7.59821{col 31}{space 2} 2.030983{col 42}{space 1}    3.74{col 51}{space 3}0.000{col 59}{space 4} 3.617557{col 72}{space 3} 11.57886
{txt}{space 4}hostcitytime2 {c |}{col 19}{res}{space 2}-6.127355{col 31}{space 2} 1.636087{col 42}{space 1}   -3.75{col 51}{space 3}0.000{col 59}{space 4}-9.334027{col 72}{space 3}-2.920683
{txt}{space 9}hostcity {c |}{col 19}{res}{space 2}-1.145805{col 31}{space 2} .6787362{col 42}{space 1}   -1.69{col 51}{space 3}0.091{col 59}{space 4}-2.476104{col 72}{space 3} .1844933
{txt}{space 13}time {c |}{col 19}{res}{space 2}-1.672691{col 31}{space 2} 1.354097{col 42}{space 1}   -1.24{col 51}{space 3}0.217{col 59}{space 4}-4.326672{col 72}{space 3} .9812906
{txt}{space 12}time2 {c |}{col 19}{res}{space 2} 1.132938{col 31}{space 2} 1.104056{col 42}{space 1}    1.03{col 51}{space 3}0.305{col 59}{space 4}-1.030973{col 72}{space 3} 3.296849
{txt}{space 7}lnpop_1970 {c |}{col 19}{res}{space 2} .2980959{col 31}{space 2} .4524641{col 42}{space 1}    0.66{col 51}{space 3}0.510{col 59}{space 4}-.5887175{col 72}{space 3} 1.184909
{txt}{space 5}vote_frejuli {c |}{col 19}{res}{space 2} .0409637{col 31}{space 2} .0305393{col 42}{space 1}    1.34{col 51}{space 3}0.180{col 59}{space 4}-.0188923{col 72}{space 3} .1008196
{txt}{space 5}literacy_avg {c |}{col 19}{res}{space 2} 1.973741{col 31}{space 2} 8.368421{col 42}{space 1}    0.24{col 51}{space 3}0.814{col 59}{space 4}-14.42806{col 72}{space 3} 18.37555
{txt}{space 5}lnrebact1974 {c |}{col 19}{res}{space 2}-.3336203{col 31}{space 2} .3324965{col 42}{space 1}   -1.00{col 51}{space 3}0.316{col 59}{space 4}-.9853016{col 72}{space 3}  .318061
{txt}lnrepression70_77 {c |}{col 19}{res}{space 2} .3378863{col 31}{space 2} .2547461{col 42}{space 1}    1.33{col 51}{space 3}0.185{col 59}{space 4}-.1614069{col 72}{space 3} .8371795
{txt}{space 12}zone2 {c |}{col 19}{res}{space 2}-2.172802{col 31}{space 2} .6212493{col 42}{space 1}   -3.50{col 51}{space 3}0.000{col 59}{space 4}-3.390429{col 72}{space 3}-.9551761
{txt}{space 12}zone3 {c |}{col 19}{res}{space 2} -2.17777{col 31}{space 2} .8219862{col 42}{space 1}   -2.65{col 51}{space 3}0.008{col 59}{space 4}-3.788834{col 72}{space 3} -.566707
{txt}{space 12}zone4 {c |}{col 19}{res}{space 2}-.5611027{col 31}{space 2} .3196033{col 42}{space 1}   -1.76{col 51}{space 3}0.079{col 59}{space 4}-1.187514{col 72}{space 3} .0653083
{txt}{space 12}zone5 {c |}{col 19}{res}{space 2}-14.57125{col 31}{space 2} .3123986{col 42}{space 1}  -46.64{col 51}{space 3}0.000{col 59}{space 4}-15.18354{col 72}{space 3}-13.95896
{txt}{space 12}_cons {c |}{col 19}{res}{space 2} -9.91361{col 31}{space 2} 9.533249{col 42}{space 1}   -1.04{col 51}{space 3}0.298{col 59}{space 4}-28.59844{col 72}{space 3} 8.771215
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}/lnalpha {c |}{col 19}{res}{space 2}  1.14851{col 31}{space 2}  .276188{col 59}{space 4} .6071915{col 72}{space 3} 1.689829
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
            alpha {c |}{col 19}{res}{space 2} 3.153491{col 31}{space 2} .8709565{col 59}{space 4}  1.83527{col 72}{space 3} 5.418553
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
.         *Model 7
.         nbreg repression hostcitytime hostcitytime2 hostcity time time2 if matched_nocapfed==1, robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-359.86113}  
Iteration 1:{space 3}log pseudolikelihood = {res:-359.84672}  
Iteration 2:{space 3}log pseudolikelihood = {res: -359.8467}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-345.67735}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-319.99376}  
Iteration 2:{space 3}log pseudolikelihood = {res:-319.64848}  
Iteration 3:{space 3}log pseudolikelihood = {res:-319.64696}  
Iteration 4:{space 3}log pseudolikelihood = {res:-319.64696}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-316.56543}  
Iteration 1:{space 3}log pseudolikelihood = {res:-316.35794}  
Iteration 2:{space 3}log pseudolikelihood = {res:-316.35756}  
Iteration 3:{space 3}log pseudolikelihood = {res:-316.35756}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     1,404
{txt}{col 49}Wald chi2({res}5{txt}){col 67}= {res}     10.40
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0646
{txt}Log pseudolikelihood = {res}-316.35756{txt}{col 49}Pseudo R2{col 67}= {res}    0.0103

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}   repression{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}hostcitytime {c |}{col 15}{res}{space 2} 8.684471{col 27}{space 2} 3.947397{col 38}{space 1}    2.20{col 47}{space 3}0.028{col 55}{space 4} .9477144{col 68}{space 3} 16.42123
{txt}hostcitytime2 {c |}{col 15}{res}{space 2}-7.917411{col 27}{space 2} 3.071103{col 38}{space 1}   -2.58{col 47}{space 3}0.010{col 55}{space 4}-13.93666{col 68}{space 3} -1.89816
{txt}{space 5}hostcity {c |}{col 15}{res}{space 2} -1.87559{col 27}{space 2} 1.159736{col 38}{space 1}   -1.62{col 47}{space 3}0.106{col 55}{space 4}-4.148631{col 68}{space 3}   .39745
{txt}{space 9}time {c |}{col 15}{res}{space 2}-.0878991{col 27}{space 2} 1.974666{col 38}{space 1}   -0.04{col 47}{space 3}0.964{col 55}{space 4}-3.958174{col 68}{space 3} 3.782376
{txt}{space 8}time2 {c |}{col 15}{res}{space 2}  .276376{col 27}{space 2} 1.583907{col 38}{space 1}    0.17{col 47}{space 3}0.861{col 55}{space 4}-2.828024{col 68}{space 3} 3.380776
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}  -2.7465{col 27}{space 2} .5258777{col 38}{space 1}   -5.22{col 47}{space 3}0.000{col 55}{space 4}-3.777202{col 68}{space 3}-1.715799
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}/lnalpha {c |}{col 15}{res}{space 2} 2.490541{col 27}{space 2} .2292475{col 55}{space 4} 2.041224{col 68}{space 3} 2.939858
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
        alpha {c |}{col 15}{res}{space 2} 12.06781{col 27}{space 2} 2.766514{col 55}{space 4} 7.700031{col 68}{space 3} 18.91316
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         
.         *Model 8
.         nbreg repression hostcitytime hostcitytime2 hostcity time time2 lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77 if matched_nocapfed==1, robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-335.42715}  
Iteration 1:{space 3}log pseudolikelihood = {res:-333.02942}  
Iteration 2:{space 3}log pseudolikelihood = {res:-332.98041}  
Iteration 3:{space 3}log pseudolikelihood = {res: -332.9803}  
Iteration 4:{space 3}log pseudolikelihood = {res: -332.9803}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-345.67735}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-319.99376}  
Iteration 2:{space 3}log pseudolikelihood = {res:-319.64848}  
Iteration 3:{space 3}log pseudolikelihood = {res:-319.64696}  
Iteration 4:{space 3}log pseudolikelihood = {res:-319.64696}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-315.68656}  
Iteration 1:{space 3}log pseudolikelihood = {res:-301.97512}  
Iteration 2:{space 3}log pseudolikelihood = {res:-299.58416}  
Iteration 3:{space 3}log pseudolikelihood = {res:-299.55035}  
Iteration 4:{space 3}log pseudolikelihood = {res:-299.55035}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     1,404
{txt}{col 49}Wald chi2({res}10{txt}){col 67}= {res}     27.27
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0024
{txt}Log pseudolikelihood = {res}-299.55035{txt}{col 49}Pseudo R2{col 67}= {res}    0.0629

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}       repression{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}hostcitytime {c |}{col 19}{res}{space 2} 8.275158{col 31}{space 2} 3.805437{col 42}{space 1}    2.17{col 51}{space 3}0.030{col 59}{space 4}  .816639{col 72}{space 3} 15.73368
{txt}{space 4}hostcitytime2 {c |}{col 19}{res}{space 2}-7.303746{col 31}{space 2} 2.910358{col 42}{space 1}   -2.51{col 51}{space 3}0.012{col 59}{space 4}-13.00794{col 72}{space 3}-1.599548
{txt}{space 9}hostcity {c |}{col 19}{res}{space 2}-.2723219{col 31}{space 2} 1.367503{col 42}{space 1}   -0.20{col 51}{space 3}0.842{col 59}{space 4}-2.952579{col 72}{space 3} 2.407935
{txt}{space 13}time {c |}{col 19}{res}{space 2}  .386924{col 31}{space 2} 1.932853{col 42}{space 1}    0.20{col 51}{space 3}0.841{col 59}{space 4}-3.401399{col 72}{space 3} 4.175247
{txt}{space 12}time2 {c |}{col 19}{res}{space 2}-.2180818{col 31}{space 2}  1.53655{col 42}{space 1}   -0.14{col 51}{space 3}0.887{col 59}{space 4}-3.229665{col 72}{space 3} 2.793502
{txt}{space 7}lnpop_1970 {c |}{col 19}{res}{space 2}-3.233002{col 31}{space 2} 1.561653{col 42}{space 1}   -2.07{col 51}{space 3}0.038{col 59}{space 4}-6.293785{col 72}{space 3}-.1722191
{txt}{space 5}vote_frejuli {c |}{col 19}{res}{space 2} .2577107{col 31}{space 2} .1121662{col 42}{space 1}    2.30{col 51}{space 3}0.022{col 59}{space 4} .0378691{col 72}{space 3} .4775524
{txt}{space 5}literacy_avg {c |}{col 19}{res}{space 2} 25.03006{col 31}{space 2}   22.401{col 42}{space 1}    1.12{col 51}{space 3}0.264{col 59}{space 4} -18.8751{col 72}{space 3} 68.93522
{txt}{space 5}lnrebact1974 {c |}{col 19}{res}{space 2} .2871345{col 31}{space 2} .2488954{col 42}{space 1}    1.15{col 51}{space 3}0.249{col 59}{space 4}-.2006915{col 72}{space 3} .7749606
{txt}lnrepression70_77 {c |}{col 19}{res}{space 2} 2.070187{col 31}{space 2}  .840678{col 42}{space 1}    2.46{col 51}{space 3}0.014{col 59}{space 4} .4224889{col 72}{space 3} 3.717886
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-9.455617{col 31}{space 2} 16.06581{col 42}{space 1}   -0.59{col 51}{space 3}0.556{col 59}{space 4}-40.94403{col 72}{space 3}  22.0328
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}/lnalpha {c |}{col 19}{res}{space 2} 2.080672{col 31}{space 2} .2398507{col 59}{space 4} 1.610573{col 72}{space 3}  2.55077
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
            alpha {c |}{col 19}{res}{space 2} 8.009846{col 31}{space 2} 1.921167{col 59}{space 4} 5.005678{col 72}{space 3} 12.81697
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.                 
.         *Model 9
.         nbreg repression hostcitytime hostcitytime2 hostcity time time2 lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77 zone2-zone5 if matched_nocapfed==1, robust                  

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-327.12618}  
Iteration 1:{space 3}log pseudolikelihood = {res:-325.49262}  
Iteration 2:{space 3}log pseudolikelihood = {res:-325.05897}  
Iteration 3:{space 3}log pseudolikelihood = {res:-324.92615}  
Iteration 4:{space 3}log pseudolikelihood = {res:-324.92313}  
Iteration 5:{space 3}log pseudolikelihood = {res:-324.92253}  
Iteration 6:{space 3}log pseudolikelihood = {res:-324.92241}  
Iteration 7:{space 3}log pseudolikelihood = {res:-324.92238}  
Iteration 8:{space 3}log pseudolikelihood = {res:-324.92237}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-345.67735}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-319.99376}  
Iteration 2:{space 3}log pseudolikelihood = {res:-319.64848}  
Iteration 3:{space 3}log pseudolikelihood = {res:-319.64696}  
Iteration 4:{space 3}log pseudolikelihood = {res:-319.64696}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-319.64696}  
Iteration 1:{space 3}log pseudolikelihood = {res: -298.7492}  
Iteration 2:{space 3}log pseudolikelihood = {res:-295.00491}  
Iteration 3:{space 3}log pseudolikelihood = {res:-293.47934}  
Iteration 4:{space 3}log pseudolikelihood = {res: -293.1551}  
Iteration 5:{space 3}log pseudolikelihood = {res:-292.95165}  
Iteration 6:{space 3}log pseudolikelihood = {res:-292.94667}  
Iteration 7:{space 3}log pseudolikelihood = {res: -292.9456}  
Iteration 8:{space 3}log pseudolikelihood = {res:-292.94535}  
Iteration 9:{space 3}log pseudolikelihood = {res: -292.9453}  
Iteration 10:{space 2}log pseudolikelihood = {res:-292.94528}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     1,404
{txt}{col 49}Wald chi2({res}14{txt}){col 67}= {res}  10687.30
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-292.94528{txt}{col 49}Pseudo R2{col 67}= {res}    0.0835

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}       repression{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}hostcitytime {c |}{col 19}{res}{space 2} 8.624621{col 31}{space 2} 3.702657{col 42}{space 1}    2.33{col 51}{space 3}0.020{col 59}{space 4} 1.367546{col 72}{space 3} 15.88169
{txt}{space 4}hostcitytime2 {c |}{col 19}{res}{space 2}-7.629134{col 31}{space 2} 2.852089{col 42}{space 1}   -2.67{col 51}{space 3}0.007{col 59}{space 4}-13.21913{col 72}{space 3}-2.039142
{txt}{space 9}hostcity {c |}{col 19}{res}{space 2} 1.639205{col 31}{space 2} 2.831149{col 42}{space 1}    0.58{col 51}{space 3}0.563{col 59}{space 4}-3.909745{col 72}{space 3} 7.188154
{txt}{space 13}time {c |}{col 19}{res}{space 2}  .176549{col 31}{space 2} 1.905443{col 42}{space 1}    0.09{col 51}{space 3}0.926{col 59}{space 4}-3.558051{col 72}{space 3} 3.911149
{txt}{space 12}time2 {c |}{col 19}{res}{space 2} .0023122{col 31}{space 2} 1.516611{col 42}{space 1}    0.00{col 51}{space 3}0.999{col 59}{space 4}-2.970191{col 72}{space 3} 2.974815
{txt}{space 7}lnpop_1970 {c |}{col 19}{res}{space 2}-6.828132{col 31}{space 2} 3.641881{col 42}{space 1}   -1.87{col 51}{space 3}0.061{col 59}{space 4}-13.96609{col 72}{space 3} .3098237
{txt}{space 5}vote_frejuli {c |}{col 19}{res}{space 2} .5585348{col 31}{space 2} .3453557{col 42}{space 1}    1.62{col 51}{space 3}0.106{col 59}{space 4}-.1183499{col 72}{space 3}  1.23542
{txt}{space 5}literacy_avg {c |}{col 19}{res}{space 2} 76.32396{col 31}{space 2} 64.89381{col 42}{space 1}    1.18{col 51}{space 3}0.240{col 59}{space 4}-50.86557{col 72}{space 3} 203.5135
{txt}{space 5}lnrebact1974 {c |}{col 19}{res}{space 2}-.3409107{col 31}{space 2} 2.303414{col 42}{space 1}   -0.15{col 51}{space 3}0.882{col 59}{space 4}-4.855519{col 72}{space 3} 4.173697
{txt}lnrepression70_77 {c |}{col 19}{res}{space 2} 4.309411{col 31}{space 2} 2.605572{col 42}{space 1}    1.65{col 51}{space 3}0.098{col 59}{space 4} -.797416{col 72}{space 3} 9.416239
{txt}{space 12}zone2 {c |}{col 19}{res}{space 2} -1.44441{col 31}{space 2} 4.730083{col 42}{space 1}   -0.31{col 51}{space 3}0.760{col 59}{space 4} -10.7152{col 72}{space 3} 7.826383
{txt}{space 12}zone3 {c |}{col 19}{res}{space 2}-1.733876{col 31}{space 2} 6.279445{col 42}{space 1}   -0.28{col 51}{space 3}0.782{col 59}{space 4}-14.04136{col 72}{space 3} 10.57361
{txt}{space 12}zone4 {c |}{col 19}{res}{space 2} 1.888374{col 31}{space 2} 2.544522{col 42}{space 1}    0.74{col 51}{space 3}0.458{col 59}{space 4}-3.098797{col 72}{space 3} 6.875545
{txt}{space 12}zone5 {c |}{col 19}{res}{space 2}-15.36406{col 31}{space 2} 2.036638{col 42}{space 1}   -7.54{col 51}{space 3}0.000{col 59}{space 4} -19.3558{col 72}{space 3}-11.37232
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-32.84212{col 31}{space 2} 46.71763{col 42}{space 1}   -0.70{col 51}{space 3}0.482{col 59}{space 4} -124.407{col 72}{space 3} 58.72274
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}/lnalpha {c |}{col 19}{res}{space 2} 1.994126{col 31}{space 2} .2318809{col 59}{space 4} 1.539648{col 72}{space 3} 2.448604
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
            alpha {c |}{col 19}{res}{space 2}  7.34578{col 31}{space 2} 1.703346{col 59}{space 4} 4.662948{col 72}{space 3} 11.57218
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
.         
.         
.         ****************************************************************************
.         *Table SI.4.7: Linear regressions (OLS) for matched samples
.         ****************************************************************************            
.         
.         *Model 1
.         reg lnrepression hostcitytime hostcitytime2 hostcity time time2 if matched_simple==1, robust

{txt}Linear regression                               Number of obs     = {res}     4,095
                                                {txt}F(5, 4089)        =  {res}     8.55
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0327
                                                {txt}Root MSE          =    {res} .17841

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1} lnrepression{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}hostcitytime {c |}{col 15}{res}{space 2} .4239147{col 27}{space 2} .1478238{col 38}{space 1}    2.87{col 47}{space 3}0.004{col 55}{space 4} .1340995{col 68}{space 3} .7137299
{txt}hostcitytime2 {c |}{col 15}{res}{space 2}-.3405208{col 27}{space 2} .1133314{col 38}{space 1}   -3.00{col 47}{space 3}0.003{col 55}{space 4} -.562712{col 68}{space 3}-.1183296
{txt}{space 5}hostcity {c |}{col 15}{res}{space 2}-.0064012{col 27}{space 2} .0351934{col 38}{space 1}   -0.18{col 47}{space 3}0.856{col 55}{space 4}-.0753995{col 68}{space 3}  .062597
{txt}{space 9}time {c |}{col 15}{res}{space 2}-.0255163{col 27}{space 2} .0314918{col 38}{space 1}   -0.81{col 47}{space 3}0.418{col 55}{space 4}-.0872573{col 68}{space 3} .0362248
{txt}{space 8}time2 {c |}{col 15}{res}{space 2} .0195838{col 27}{space 2} .0249557{col 38}{space 1}    0.78{col 47}{space 3}0.433{col 55}{space 4} -.029343{col 68}{space 3} .0685107
{txt}{space 8}_cons {c |}{col 15}{res}{space 2} .0291566{col 27}{space 2} .0084602{col 38}{space 1}    3.45{col 47}{space 3}0.001{col 55}{space 4} .0125701{col 68}{space 3} .0457432
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         *Model 2
.         reg lnrepression hostcitytime hostcitytime2 hostcity time time2 lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77 if matched_simple==1, robust        

{txt}Linear regression                               Number of obs     = {res}     4,095
                                                {txt}F(10, 4084)       =  {res}    12.90
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0984
                                                {txt}Root MSE          =    {res} .17236

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}     lnrepression{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}hostcitytime {c |}{col 19}{res}{space 2} .4239147{col 31}{space 2} .1353357{col 42}{space 1}    3.13{col 51}{space 3}0.002{col 59}{space 4} .1585829{col 72}{space 3} .6892465
{txt}{space 4}hostcitytime2 {c |}{col 19}{res}{space 2}-.3405208{col 31}{space 2} .1047906{col 42}{space 1}   -3.25{col 51}{space 3}0.001{col 59}{space 4}-.5459676{col 72}{space 3}-.1350741
{txt}{space 9}hostcity {c |}{col 19}{res}{space 2}-.1000712{col 31}{space 2} .0345573{col 42}{space 1}   -2.90{col 51}{space 3}0.004{col 59}{space 4}-.1678224{col 72}{space 3}  -.03232
{txt}{space 13}time {c |}{col 19}{res}{space 2}-.0255163{col 31}{space 2} .0312207{col 42}{space 1}   -0.82{col 51}{space 3}0.414{col 59}{space 4}-.0867258{col 72}{space 3} .0356933
{txt}{space 12}time2 {c |}{col 19}{res}{space 2} .0195838{col 31}{space 2} .0248315{col 42}{space 1}    0.79{col 51}{space 3}0.430{col 59}{space 4}-.0290994{col 72}{space 3}  .068267
{txt}{space 7}lnpop_1970 {c |}{col 19}{res}{space 2} .0866612{col 31}{space 2}  .010545{col 42}{space 1}    8.22{col 51}{space 3}0.000{col 59}{space 4} .0659873{col 72}{space 3} .1073351
{txt}{space 5}vote_frejuli {c |}{col 19}{res}{space 2}-.0013835{col 31}{space 2} .0005064{col 42}{space 1}   -2.73{col 51}{space 3}0.006{col 59}{space 4}-.0023763{col 72}{space 3}-.0003908
{txt}{space 5}literacy_avg {c |}{col 19}{res}{space 2} .0088837{col 31}{space 2} .0872344{col 42}{space 1}    0.10{col 51}{space 3}0.919{col 59}{space 4}-.1621432{col 72}{space 3} .1799106
{txt}{space 5}lnrebact1974 {c |}{col 19}{res}{space 2}-.0048739{col 31}{space 2} .0017468{col 42}{space 1}   -2.79{col 51}{space 3}0.005{col 59}{space 4}-.0082985{col 72}{space 3}-.0014493
{txt}lnrepression70_77 {c |}{col 19}{res}{space 2}-.0029483{col 31}{space 2} .0022747{col 42}{space 1}   -1.30{col 51}{space 3}0.195{col 59}{space 4} -.007408{col 72}{space 3} .0015114
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-.9370827{col 31}{space 2} .1405374{col 42}{space 1}   -6.67{col 51}{space 3}0.000{col 59}{space 4}-1.212613{col 72}{space 3}-.6615528
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         *Model 3
.         reg lnrepression hostcitytime hostcitytime2 hostcity time time2 lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77 zone2-zone5 if matched_simple==1, robust     

{txt}Linear regression                               Number of obs     = {res}     4,095
                                                {txt}F(14, 4080)       =  {res}    10.48
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1201
                                                {txt}Root MSE          =    {res} .17036

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}     lnrepression{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}hostcitytime {c |}{col 19}{res}{space 2} .4239147{col 31}{space 2} .1307916{col 42}{space 1}    3.24{col 51}{space 3}0.001{col 59}{space 4} .1674918{col 72}{space 3} .6803376
{txt}{space 4}hostcitytime2 {c |}{col 19}{res}{space 2}-.3405208{col 31}{space 2} .1018202{col 42}{space 1}   -3.34{col 51}{space 3}0.001{col 59}{space 4} -.540144{col 72}{space 3}-.1408977
{txt}{space 9}hostcity {c |}{col 19}{res}{space 2}-.0766438{col 31}{space 2} .0326611{col 42}{space 1}   -2.35{col 51}{space 3}0.019{col 59}{space 4}-.1406773{col 72}{space 3}-.0126103
{txt}{space 13}time {c |}{col 19}{res}{space 2}-.0255163{col 31}{space 2} .0311772{col 42}{space 1}   -0.82{col 51}{space 3}0.413{col 59}{space 4}-.0866406{col 72}{space 3} .0356081
{txt}{space 12}time2 {c |}{col 19}{res}{space 2} .0195838{col 31}{space 2} .0248084{col 42}{space 1}    0.79{col 51}{space 3}0.430{col 59}{space 4}-.0290542{col 72}{space 3} .0682218
{txt}{space 7}lnpop_1970 {c |}{col 19}{res}{space 2} .0872262{col 31}{space 2} .0112389{col 42}{space 1}    7.76{col 51}{space 3}0.000{col 59}{space 4} .0651919{col 72}{space 3} .1092605
{txt}{space 5}vote_frejuli {c |}{col 19}{res}{space 2}-.0009356{col 31}{space 2}  .000594{col 42}{space 1}   -1.58{col 51}{space 3}0.115{col 59}{space 4}-.0021001{col 72}{space 3}  .000229
{txt}{space 5}literacy_avg {c |}{col 19}{res}{space 2}  .209236{col 31}{space 2} .1022958{col 42}{space 1}    2.05{col 51}{space 3}0.041{col 59}{space 4} .0086804{col 72}{space 3} .4097917
{txt}{space 5}lnrebact1974 {c |}{col 19}{res}{space 2}-.0204228{col 31}{space 2} .0030754{col 42}{space 1}   -6.64{col 51}{space 3}0.000{col 59}{space 4}-.0264522{col 72}{space 3}-.0143933
{txt}lnrepression70_77 {c |}{col 19}{res}{space 2}-.0160011{col 31}{space 2} .0038387{col 42}{space 1}   -4.17{col 51}{space 3}0.000{col 59}{space 4}-.0235271{col 72}{space 3}-.0084752
{txt}{space 12}zone2 {c |}{col 19}{res}{space 2}-.1094745{col 31}{space 2} .0125843{col 42}{space 1}   -8.70{col 51}{space 3}0.000{col 59}{space 4}-.1341465{col 72}{space 3}-.0848024
{txt}{space 12}zone3 {c |}{col 19}{res}{space 2}-.0856797{col 31}{space 2} .0112167{col 42}{space 1}   -7.64{col 51}{space 3}0.000{col 59}{space 4}-.1076706{col 72}{space 3}-.0636889
{txt}{space 12}zone4 {c |}{col 19}{res}{space 2}-.0162239{col 31}{space 2} .0087502{col 42}{space 1}   -1.85{col 51}{space 3}0.064{col 59}{space 4}-.0333791{col 72}{space 3} .0009314
{txt}{space 12}zone5 {c |}{col 19}{res}{space 2} -.068208{col 31}{space 2} .0102805{col 42}{space 1}   -6.63{col 51}{space 3}0.000{col 59}{space 4}-.0883634{col 72}{space 3}-.0480526
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-.9783338{col 31}{space 2} .1716195{col 42}{space 1}   -5.70{col 51}{space 3}0.000{col 59}{space 4}-1.314802{col 72}{space 3}-.6418659
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         *Model 4
.         reg lnrepression hostcitytime hostcitytime2 hostcity time time2 if matched_allhosts==1, robust

{txt}Linear regression                               Number of obs     = {res}     2,223
                                                {txt}F(5, 2217)        =  {res}     5.53
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0235
                                                {txt}Root MSE          =    {res} .22862

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1} lnrepression{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}hostcitytime {c |}{col 15}{res}{space 2} .4654191{col 27}{space 2} .1571248{col 38}{space 1}    2.96{col 47}{space 3}0.003{col 55}{space 4}  .157292{col 68}{space 3} .7735462
{txt}hostcitytime2 {c |}{col 15}{res}{space 2}-.3676527{col 27}{space 2} .1204578{col 38}{space 1}   -3.05{col 47}{space 3}0.002{col 55}{space 4}-.6038745{col 68}{space 3}-.1314309
{txt}{space 5}hostcity {c |}{col 15}{res}{space 2}-.0353565{col 27}{space 2} .0382241{col 38}{space 1}   -0.92{col 47}{space 3}0.355{col 55}{space 4}-.1103152{col 68}{space 3} .0396022
{txt}{space 9}time {c |}{col 15}{res}{space 2}-.0670207{col 27}{space 2} .0616623{col 38}{space 1}   -1.09{col 47}{space 3}0.277{col 55}{space 4}-.1879425{col 68}{space 3} .0539012
{txt}{space 8}time2 {c |}{col 15}{res}{space 2} .0467157{col 27}{space 2} .0476837{col 38}{space 1}    0.98{col 47}{space 3}0.327{col 55}{space 4}-.0467938{col 68}{space 3} .1402251
{txt}{space 8}_cons {c |}{col 15}{res}{space 2} .0581119{col 27}{space 2} .0171065{col 38}{space 1}    3.40{col 47}{space 3}0.001{col 55}{space 4} .0245654{col 68}{space 3} .0916584
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         *Model 5
.         reg lnrepression hostcitytime hostcitytime2 hostcity time time2 lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77 if matched_allhosts==1, robust      

{txt}Linear regression                               Number of obs     = {res}     2,223
                                                {txt}F(10, 2212)       =  {res}    10.24
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1181
                                                {txt}Root MSE          =    {res} .21751

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}     lnrepression{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}hostcitytime {c |}{col 19}{res}{space 2} .4654191{col 31}{space 2} .1419494{col 42}{space 1}    3.28{col 51}{space 3}0.001{col 59}{space 4} .1870511{col 72}{space 3} .7437872
{txt}{space 4}hostcitytime2 {c |}{col 19}{res}{space 2}-.3676527{col 31}{space 2} .1109197{col 42}{space 1}   -3.31{col 51}{space 3}0.001{col 59}{space 4}-.5851703{col 72}{space 3}-.1501351
{txt}{space 9}hostcity {c |}{col 19}{res}{space 2} -.159345{col 31}{space 2} .0404936{col 42}{space 1}   -3.94{col 51}{space 3}0.000{col 59}{space 4}-.2387545{col 72}{space 3}-.0799355
{txt}{space 13}time {c |}{col 19}{res}{space 2}-.0670207{col 31}{space 2} .0614353{col 42}{space 1}   -1.09{col 51}{space 3}0.275{col 59}{space 4}-.1874975{col 72}{space 3} .0534561
{txt}{space 12}time2 {c |}{col 19}{res}{space 2} .0467157{col 31}{space 2} .0475775{col 42}{space 1}    0.98{col 51}{space 3}0.326{col 59}{space 4}-.0465855{col 72}{space 3} .1400168
{txt}{space 7}lnpop_1970 {c |}{col 19}{res}{space 2} .1347649{col 31}{space 2} .0176017{col 42}{space 1}    7.66{col 51}{space 3}0.000{col 59}{space 4} .1002473{col 72}{space 3} .1692826
{txt}{space 5}vote_frejuli {c |}{col 19}{res}{space 2}-.0029406{col 31}{space 2} .0010834{col 42}{space 1}   -2.71{col 51}{space 3}0.007{col 59}{space 4}-.0050652{col 72}{space 3} -.000816
{txt}{space 5}literacy_avg {c |}{col 19}{res}{space 2} .6144213{col 31}{space 2} .2780236{col 42}{space 1}    2.21{col 51}{space 3}0.027{col 59}{space 4} .0692068{col 72}{space 3} 1.159636
{txt}{space 5}lnrebact1974 {c |}{col 19}{res}{space 2}-.0170974{col 31}{space 2} .0055703{col 42}{space 1}   -3.07{col 51}{space 3}0.002{col 59}{space 4} -.028021{col 72}{space 3}-.0061738
{txt}lnrepression70_77 {c |}{col 19}{res}{space 2}-.0171657{col 31}{space 2} .0058461{col 42}{space 1}   -2.94{col 51}{space 3}0.003{col 59}{space 4}-.0286301{col 72}{space 3}-.0057012
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-1.841245{col 31}{space 2} .3303371{col 42}{space 1}   -5.57{col 51}{space 3}0.000{col 59}{space 4}-2.489048{col 72}{space 3}-1.193441
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         *Model 6
.         reg lnrepression hostcitytime hostcitytime2 hostcity time time2 lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77 zone2-zone5 if matched_allhosts==1, robust   

{txt}Linear regression                               Number of obs     = {res}     2,223
                                                {txt}F(14, 2208)       =  {res}    11.90
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1427
                                                {txt}Root MSE          =    {res} .21464

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}     lnrepression{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}hostcitytime {c |}{col 19}{res}{space 2} .4654191{col 31}{space 2} .1382329{col 42}{space 1}    3.37{col 51}{space 3}0.001{col 59}{space 4}  .194339{col 72}{space 3} .7364993
{txt}{space 4}hostcitytime2 {c |}{col 19}{res}{space 2}-.3676527{col 31}{space 2} .1088171{col 42}{space 1}   -3.38{col 51}{space 3}0.001{col 59}{space 4}-.5810473{col 72}{space 3}-.1542581
{txt}{space 9}hostcity {c |}{col 19}{res}{space 2}-.1285976{col 31}{space 2} .0387226{col 42}{space 1}   -3.32{col 51}{space 3}0.001{col 59}{space 4}-.2045342{col 72}{space 3} -.052661
{txt}{space 13}time {c |}{col 19}{res}{space 2}-.0670207{col 31}{space 2}   .06111{col 42}{space 1}   -1.10{col 51}{space 3}0.273{col 59}{space 4}-.1868597{col 72}{space 3} .0528184
{txt}{space 12}time2 {c |}{col 19}{res}{space 2} .0467157{col 31}{space 2} .0472969{col 42}{space 1}    0.99{col 51}{space 3}0.323{col 59}{space 4}-.0460354{col 72}{space 3} .1394668
{txt}{space 7}lnpop_1970 {c |}{col 19}{res}{space 2} .1095845{col 31}{space 2}  .016216{col 42}{space 1}    6.76{col 51}{space 3}0.000{col 59}{space 4} .0777842{col 72}{space 3} .1413847
{txt}{space 5}vote_frejuli {c |}{col 19}{res}{space 2}-.0021261{col 31}{space 2} .0010895{col 42}{space 1}   -1.95{col 51}{space 3}0.051{col 59}{space 4}-.0042627{col 72}{space 3} .0000104
{txt}{space 5}literacy_avg {c |}{col 19}{res}{space 2}-.1810683{col 31}{space 2}  .297611{col 42}{space 1}   -0.61{col 51}{space 3}0.543{col 59}{space 4} -.764695{col 72}{space 3} .4025584
{txt}{space 5}lnrebact1974 {c |}{col 19}{res}{space 2}-.0709726{col 31}{space 2} .0132585{col 42}{space 1}   -5.35{col 51}{space 3}0.000{col 59}{space 4} -.096973{col 72}{space 3}-.0449721
{txt}lnrepression70_77 {c |}{col 19}{res}{space 2}-.0177131{col 31}{space 2} .0063061{col 42}{space 1}   -2.81{col 51}{space 3}0.005{col 59}{space 4}-.0300797{col 72}{space 3}-.0053465
{txt}{space 12}zone2 {c |}{col 19}{res}{space 2}-.1731408{col 31}{space 2} .0255027{col 42}{space 1}   -6.79{col 51}{space 3}0.000{col 59}{space 4}-.2231526{col 72}{space 3}-.1231289
{txt}{space 12}zone3 {c |}{col 19}{res}{space 2}-.1857369{col 31}{space 2}  .031199{col 42}{space 1}   -5.95{col 51}{space 3}0.000{col 59}{space 4}-.2469194{col 72}{space 3}-.1245544
{txt}{space 12}zone4 {c |}{col 19}{res}{space 2}-.0205745{col 31}{space 2} .0108815{col 42}{space 1}   -1.89{col 51}{space 3}0.059{col 59}{space 4}-.0419135{col 72}{space 3} .0007645
{txt}{space 12}zone5 {c |}{col 19}{res}{space 2}-.0065634{col 31}{space 2} .0126755{col 42}{space 1}   -0.52{col 51}{space 3}0.605{col 59}{space 4}-.0314206{col 72}{space 3} .0182937
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}  -.60462{col 31}{space 2} .3345423{col 42}{space 1}   -1.81{col 51}{space 3}0.071{col 59}{space 4}-1.260671{col 72}{space 3} .0514305
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         *Model 7
.         reg lnrepression hostcitytime hostcitytime2 hostcity time time2 if matched_nocapfed==1, robust

{txt}Linear regression                               Number of obs     = {res}     1,404
                                                {txt}F(5, 1398)        =  {res}     3.24
                                                {txt}Prob > F          = {res}    0.0065
                                                {txt}R-squared         = {res}    0.0034
                                                {txt}Root MSE          =    {res} .18588

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1} lnrepression{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}hostcitytime {c |}{col 15}{res}{space 2} .1887837{col 27}{space 2} .1157328{col 38}{space 1}    1.63{col 47}{space 3}0.103{col 55}{space 4} -.038245{col 68}{space 3} .4158124
{txt}hostcitytime2 {c |}{col 15}{res}{space 2}-.1659164{col 27}{space 2} .0907044{col 38}{space 1}   -1.83{col 47}{space 3}0.068{col 55}{space 4}-.3438478{col 68}{space 3}  .012015
{txt}{space 5}hostcity {c |}{col 15}{res}{space 2}-.0413662{col 27}{space 2} .0282232{col 38}{space 1}   -1.47{col 47}{space 3}0.143{col 55}{space 4}-.0967306{col 68}{space 3} .0139981
{txt}{space 9}time {c |}{col 15}{res}{space 2} .0143527{col 27}{space 2} .0844443{col 38}{space 1}    0.17{col 47}{space 3}0.865{col 55}{space 4}-.1512986{col 68}{space 3} .1800039
{txt}{space 8}time2 {c |}{col 15}{res}{space 2}-.0075124{col 27}{space 2} .0663301{col 38}{space 1}   -0.11{col 47}{space 3}0.910{col 55}{space 4}-.1376298{col 68}{space 3} .1226049
{txt}{space 8}_cons {c |}{col 15}{res}{space 2} .0364887{col 27}{space 2}  .021866{col 38}{space 1}    1.67{col 47}{space 3}0.095{col 55}{space 4} -.006405{col 68}{space 3} .0793825
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         *Model 8
.         reg lnrepression hostcitytime hostcitytime2 hostcity time time2 lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77 if matched_nocapfed==1, robust      

{txt}Linear regression                               Number of obs     = {res}     1,404
                                                {txt}F(10, 1393)       =  {res}     5.21
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0207
                                                {txt}Root MSE          =    {res} .18459

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}     lnrepression{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}hostcitytime {c |}{col 19}{res}{space 2} .1887837{col 31}{space 2} .1150987{col 42}{space 1}    1.64{col 51}{space 3}0.101{col 59}{space 4}-.0370018{col 72}{space 3} .4145692
{txt}{space 4}hostcitytime2 {c |}{col 19}{res}{space 2}-.1659164{col 31}{space 2} .0900752{col 42}{space 1}   -1.84{col 51}{space 3}0.066{col 59}{space 4}-.3426141{col 72}{space 3} .0107812
{txt}{space 9}hostcity {c |}{col 19}{res}{space 2}-.0332552{col 31}{space 2} .0341417{col 42}{space 1}   -0.97{col 51}{space 3}0.330{col 59}{space 4}-.1002298{col 72}{space 3} .0337195
{txt}{space 13}time {c |}{col 19}{res}{space 2} .0143527{col 31}{space 2} .0832444{col 42}{space 1}    0.17{col 51}{space 3}0.863{col 59}{space 4}-.1489453{col 72}{space 3} .1776506
{txt}{space 12}time2 {c |}{col 19}{res}{space 2}-.0075124{col 31}{space 2} .0652806{col 42}{space 1}   -0.12{col 51}{space 3}0.908{col 59}{space 4}-.1355714{col 72}{space 3} .1205466
{txt}{space 7}lnpop_1970 {c |}{col 19}{res}{space 2}-.0196137{col 31}{space 2} .0142532{col 42}{space 1}   -1.38{col 51}{space 3}0.169{col 59}{space 4}-.0475738{col 72}{space 3} .0083464
{txt}{space 5}vote_frejuli {c |}{col 19}{res}{space 2}  .002655{col 31}{space 2} .0014792{col 42}{space 1}    1.79{col 51}{space 3}0.073{col 59}{space 4}-.0002467{col 72}{space 3} .0055567
{txt}{space 5}literacy_avg {c |}{col 19}{res}{space 2}-.2986118{col 31}{space 2} .4773684{col 42}{space 1}   -0.63{col 51}{space 3}0.532{col 59}{space 4} -1.23505{col 72}{space 3} .6378266
{txt}{space 5}lnrebact1974 {c |}{col 19}{res}{space 2} .0022224{col 31}{space 2} .0079034{col 42}{space 1}    0.28{col 51}{space 3}0.779{col 59}{space 4}-.0132814{col 72}{space 3} .0177261
{txt}lnrepression70_77 {c |}{col 19}{res}{space 2} .0182073{col 31}{space 2} .0083349{col 42}{space 1}    2.18{col 51}{space 3}0.029{col 59}{space 4}  .001857{col 72}{space 3} .0345575
{txt}{space 12}_cons {c |}{col 19}{res}{space 2} .2969525{col 31}{space 2} .4807525{col 42}{space 1}    0.62{col 51}{space 3}0.537{col 59}{space 4}-.6461245{col 72}{space 3}  1.24003
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         *Model 9
.         reg lnrepression hostcitytime hostcitytime2 hostcity time time2 lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77 zone2-zone5 if matched_nocapfed==1, robust   

{txt}Linear regression                               Number of obs     = {res}     1,404
                                                {txt}F(14, 1389)       =  {res}     4.64
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0278
                                                {txt}Root MSE          =    {res} .18419

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}     lnrepression{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}hostcitytime {c |}{col 19}{res}{space 2} .1887837{col 31}{space 2} .1147805{col 42}{space 1}    1.64{col 51}{space 3}0.100{col 59}{space 4}-.0363782{col 72}{space 3} .4139456
{txt}{space 4}hostcitytime2 {c |}{col 19}{res}{space 2}-.1659164{col 31}{space 2} .0899637{col 42}{space 1}   -1.84{col 51}{space 3}0.065{col 59}{space 4}-.3423958{col 72}{space 3} .0105629
{txt}{space 9}hostcity {c |}{col 19}{res}{space 2}-.0337632{col 31}{space 2} .0375146{col 42}{space 1}   -0.90{col 51}{space 3}0.368{col 59}{space 4}-.1073547{col 72}{space 3} .0398283
{txt}{space 13}time {c |}{col 19}{res}{space 2} .0143527{col 31}{space 2} .0829962{col 42}{space 1}    0.17{col 51}{space 3}0.863{col 59}{space 4}-.1484588{col 72}{space 3} .1771641
{txt}{space 12}time2 {c |}{col 19}{res}{space 2}-.0075124{col 31}{space 2} .0651952{col 42}{space 1}   -0.12{col 51}{space 3}0.908{col 59}{space 4}-.1354041{col 72}{space 3} .1203792
{txt}{space 7}lnpop_1970 {c |}{col 19}{res}{space 2} -.070814{col 31}{space 2} .1210278{col 42}{space 1}   -0.59{col 51}{space 3}0.559{col 59}{space 4} -.308231{col 72}{space 3}  .166603
{txt}{space 5}vote_frejuli {c |}{col 19}{res}{space 2} .0041668{col 31}{space 2} .0061466{col 42}{space 1}    0.68{col 51}{space 3}0.498{col 59}{space 4}-.0078908{col 72}{space 3} .0162245
{txt}{space 5}literacy_avg {c |}{col 19}{res}{space 2} .0800886{col 31}{space 2} 1.221335{col 42}{space 1}    0.07{col 51}{space 3}0.948{col 59}{space 4}-2.315773{col 72}{space 3}  2.47595
{txt}{space 5}lnrebact1974 {c |}{col 19}{res}{space 2} .0274531{col 31}{space 2} .0692909{col 42}{space 1}    0.40{col 51}{space 3}0.692{col 59}{space 4}-.1084729{col 72}{space 3} .1633791
{txt}lnrepression70_77 {c |}{col 19}{res}{space 2} .0322745{col 31}{space 2} .0346235{col 42}{space 1}    0.93{col 51}{space 3}0.351{col 59}{space 4}-.0356454{col 72}{space 3} .1001945
{txt}{space 12}zone2 {c |}{col 19}{res}{space 2}  .028048{col 31}{space 2} .1422388{col 42}{space 1}    0.20{col 51}{space 3}0.844{col 59}{space 4}-.2509782{col 72}{space 3} .3070742
{txt}{space 12}zone3 {c |}{col 19}{res}{space 2} .0547269{col 31}{space 2} .1971011{col 42}{space 1}    0.28{col 51}{space 3}0.781{col 59}{space 4} -.331921{col 72}{space 3} .4413749
{txt}{space 12}zone4 {c |}{col 19}{res}{space 2} -.030737{col 31}{space 2} .0184919{col 42}{space 1}   -1.66{col 51}{space 3}0.097{col 59}{space 4}-.0670121{col 72}{space 3} .0055382
{txt}{space 12}zone5 {c |}{col 19}{res}{space 2}-.0754488{col 31}{space 2} .0472184{col 42}{space 1}   -1.60{col 51}{space 3}0.110{col 59}{space 4}-.1680759{col 72}{space 3} .0171783
{txt}{space 12}_cons {c |}{col 19}{res}{space 2} .3632071{col 31}{space 2} .5787696{col 42}{space 1}    0.63{col 51}{space 3}0.530{col 59}{space 4}-.7721498{col 72}{space 3} 1.498564
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         
.         
.         ****************************************************************************
.         *Table SI.4.8: Outlier test with dropping one host city at a time
.         ****************************************************************************            
.  
.         *Model 1
.         nbreg repression hostcitytime hostcitytime2 hostcity time time2 lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77 zone2-zone5 if hostcitynum!=1, robust                       

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3389.2413}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-3118.3105}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1615.9342}  (backed up)
Iteration 3:{space 3}log pseudolikelihood = {res:-1525.2956}  (backed up)
Iteration 4:{space 3}log pseudolikelihood = {res:-1403.4026}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1312.7206}  
Iteration 6:{space 3}log pseudolikelihood = {res:-966.99604}  
Iteration 7:{space 3}log pseudolikelihood = {res:-952.23952}  
Iteration 8:{space 3}log pseudolikelihood = {res: -948.2702}  
Iteration 9:{space 3}log pseudolikelihood = {res:-948.25086}  
Iteration 10:{space 2}log pseudolikelihood = {res:-948.25085}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1339.5763}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1155.7653}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1128.6107}  
Iteration 3:{space 3}log pseudolikelihood = {res: -1128.588}  
Iteration 4:{space 3}log pseudolikelihood = {res: -1128.588}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1047.9226}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-949.71977}  
Iteration 2:{space 3}log pseudolikelihood = {res:-852.25014}  
Iteration 3:{space 3}log pseudolikelihood = {res: -842.0554}  
Iteration 4:{space 3}log pseudolikelihood = {res:-841.54374}  
Iteration 5:{space 3}log pseudolikelihood = {res:-841.54115}  
Iteration 6:{space 3}log pseudolikelihood = {res:-841.54115}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}    56,277
{txt}{col 49}Wald chi2({res}14{txt}){col 67}= {res}    541.66
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-841.54115{txt}{col 49}Pseudo R2{col 67}= {res}    0.2543

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}       repression{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}hostcitytime {c |}{col 19}{res}{space 2} 12.77846{col 31}{space 2}  4.03767{col 42}{space 1}    3.16{col 51}{space 3}0.002{col 59}{space 4} 4.864774{col 72}{space 3} 20.69215
{txt}{space 4}hostcitytime2 {c |}{col 19}{res}{space 2}-10.79343{col 31}{space 2} 2.953088{col 42}{space 1}   -3.65{col 51}{space 3}0.000{col 59}{space 4}-16.58137{col 72}{space 3}-5.005481
{txt}{space 9}hostcity {c |}{col 19}{res}{space 2}-2.365144{col 31}{space 2} 1.224888{col 42}{space 1}   -1.93{col 51}{space 3}0.053{col 59}{space 4}-4.765879{col 72}{space 3} .0355918
{txt}{space 13}time {c |}{col 19}{res}{space 2}-1.995184{col 31}{space 2} 1.265482{col 42}{space 1}   -1.58{col 51}{space 3}0.115{col 59}{space 4}-4.475484{col 72}{space 3}  .485115
{txt}{space 12}time2 {c |}{col 19}{res}{space 2} 1.420542{col 31}{space 2} .9994692{col 42}{space 1}    1.42{col 51}{space 3}0.155{col 59}{space 4}-.5383818{col 72}{space 3} 3.379465
{txt}{space 7}lnpop_1970 {c |}{col 19}{res}{space 2}  .320118{col 31}{space 2} .2506468{col 42}{space 1}    1.28{col 51}{space 3}0.202{col 59}{space 4}-.1711406{col 72}{space 3} .8113767
{txt}{space 5}vote_frejuli {c |}{col 19}{res}{space 2} .0342151{col 31}{space 2} .0128383{col 42}{space 1}    2.67{col 51}{space 3}0.008{col 59}{space 4} .0090525{col 72}{space 3} .0593778
{txt}{space 5}literacy_avg {c |}{col 19}{res}{space 2} 1.121035{col 31}{space 2} 3.393142{col 42}{space 1}    0.33{col 51}{space 3}0.741{col 59}{space 4}  -5.5294{col 72}{space 3} 7.771471
{txt}{space 5}lnrebact1974 {c |}{col 19}{res}{space 2}-.0416453{col 31}{space 2} .1250402{col 42}{space 1}   -0.33{col 51}{space 3}0.739{col 59}{space 4}-.2867196{col 72}{space 3} .2034291
{txt}lnrepression70_77 {c |}{col 19}{res}{space 2} .7495669{col 31}{space 2} .1768471{col 42}{space 1}    4.24{col 51}{space 3}0.000{col 59}{space 4} .4029531{col 72}{space 3} 1.096181
{txt}{space 12}zone2 {c |}{col 19}{res}{space 2}-2.107026{col 31}{space 2} .4950952{col 42}{space 1}   -4.26{col 51}{space 3}0.000{col 59}{space 4}-3.077395{col 72}{space 3}-1.136657
{txt}{space 12}zone3 {c |}{col 19}{res}{space 2}-.7402128{col 31}{space 2} .4427457{col 42}{space 1}   -1.67{col 51}{space 3}0.095{col 59}{space 4}-1.607978{col 72}{space 3} .1275529
{txt}{space 12}zone4 {c |}{col 19}{res}{space 2}-.4010579{col 31}{space 2} .2623558{col 42}{space 1}   -1.53{col 51}{space 3}0.126{col 59}{space 4}-.9152657{col 72}{space 3}   .11315
{txt}{space 12}zone5 {c |}{col 19}{res}{space 2}-.7924271{col 31}{space 2} .4971115{col 42}{space 1}   -1.59{col 51}{space 3}0.111{col 59}{space 4}-1.766748{col 72}{space 3} .1818935
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-12.91889{col 31}{space 2} 3.122028{col 42}{space 1}   -4.14{col 51}{space 3}0.000{col 59}{space 4}-19.03796{col 72}{space 3} -6.79983
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}/lnalpha {c |}{col 19}{res}{space 2} 2.816853{col 31}{space 2} .2817828{col 59}{space 4} 2.264569{col 72}{space 3} 3.369137
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
            alpha {c |}{col 19}{res}{space 2} 16.72414{col 31}{space 2} 4.712574{col 59}{space 4} 9.626974{col 72}{space 3} 29.05345
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         
.         *Model 2        
.         nbreg repression hostcitytime hostcitytime2 hostcity time time2 lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77 zone2-zone5 if hostcitynum!=2, robust                       

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-12043.036}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-11079.593}  (not concave)
Iteration 2:{space 3}log pseudolikelihood = {res:-10968.797}  (not concave)
Iteration 3:{space 3}log pseudolikelihood = {res:-10618.047}  (not concave)
Iteration 4:{space 3}log pseudolikelihood = {res:-10567.666}  (not concave)
Iteration 5:{space 3}log pseudolikelihood = {res:-10294.143}  (not concave)
Iteration 6:{space 3}log pseudolikelihood = {res:-9975.8291}  (not concave)
Iteration 7:{space 3}log pseudolikelihood = {res:-7595.9817}  (not concave)
Iteration 8:{space 3}log pseudolikelihood = {res:-7068.4705}  (not concave)
Iteration 9:{space 3}log pseudolikelihood = {res:-6577.8856}  (not concave)
Iteration 10:{space 2}log pseudolikelihood = {res:-6272.1125}  (not concave)
Iteration 11:{space 2}log pseudolikelihood = {res:-5955.0224}  (not concave)
Iteration 12:{space 2}log pseudolikelihood = {res:-5761.0392}  (not concave)
Iteration 13:{space 2}log pseudolikelihood = {res:-5528.3084}  
Iteration 14:{space 2}log pseudolikelihood = {res:-2899.2081}  (backed up)
Iteration 15:{space 2}log pseudolikelihood = {res:-2338.5516}  (backed up)
Iteration 16:{space 2}log pseudolikelihood = {res:-1546.8581}  
Iteration 17:{space 2}log pseudolikelihood = {res:-1237.3304}  
Iteration 18:{space 2}log pseudolikelihood = {res:-1098.3026}  
Iteration 19:{space 2}log pseudolikelihood = {res:-1056.0306}  
Iteration 20:{space 2}log pseudolikelihood = {res:-1055.5036}  
Iteration 21:{space 2}log pseudolikelihood = {res:-1055.5027}  
Iteration 22:{space 2}log pseudolikelihood = {res:-1055.5027}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1770.9123}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1445.1321}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1444.9751}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1444.9751}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1339.3161}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1192.1324}  
Iteration 2:{space 3}log pseudolikelihood = {res:-999.48563}  
Iteration 3:{space 3}log pseudolikelihood = {res:-982.04127}  
Iteration 4:{space 3}log pseudolikelihood = {res:-978.64738}  
Iteration 5:{space 3}log pseudolikelihood = {res:-978.61998}  
Iteration 6:{space 3}log pseudolikelihood = {res:-978.61998}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}    56,277
{txt}{col 49}Wald chi2({res}14{txt}){col 67}= {res}    759.23
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-978.61998{txt}{col 49}Pseudo R2{col 67}= {res}    0.3227

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}       repression{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}hostcitytime {c |}{col 19}{res}{space 2} 8.513206{col 31}{space 2} 1.989006{col 42}{space 1}    4.28{col 51}{space 3}0.000{col 59}{space 4} 4.614825{col 72}{space 3} 12.41159
{txt}{space 4}hostcitytime2 {c |}{col 19}{res}{space 2}-6.681613{col 31}{space 2} 1.594067{col 42}{space 1}   -4.19{col 51}{space 3}0.000{col 59}{space 4}-9.805928{col 72}{space 3}-3.557298
{txt}{space 9}hostcity {c |}{col 19}{res}{space 2}-1.754297{col 31}{space 2} .6260159{col 42}{space 1}   -2.80{col 51}{space 3}0.005{col 59}{space 4}-2.981265{col 72}{space 3}-.5273279
{txt}{space 13}time {c |}{col 19}{res}{space 2}-1.926413{col 31}{space 2} 1.210262{col 42}{space 1}   -1.59{col 51}{space 3}0.111{col 59}{space 4}-4.298483{col 72}{space 3} .4456577
{txt}{space 12}time2 {c |}{col 19}{res}{space 2} 1.371557{col 31}{space 2} .9547886{col 42}{space 1}    1.44{col 51}{space 3}0.151{col 59}{space 4}-.4997942{col 72}{space 3} 3.242908
{txt}{space 7}lnpop_1970 {c |}{col 19}{res}{space 2} .3839517{col 31}{space 2} .2642547{col 42}{space 1}    1.45{col 51}{space 3}0.146{col 59}{space 4}-.1339779{col 72}{space 3} .9018814
{txt}{space 5}vote_frejuli {c |}{col 19}{res}{space 2} .0381353{col 31}{space 2} .0134751{col 42}{space 1}    2.83{col 51}{space 3}0.005{col 59}{space 4} .0117246{col 72}{space 3}  .064546
{txt}{space 5}literacy_avg {c |}{col 19}{res}{space 2} 1.356395{col 31}{space 2}   3.3376{col 42}{space 1}    0.41{col 51}{space 3}0.684{col 59}{space 4} -5.18518{col 72}{space 3}  7.89797
{txt}{space 5}lnrebact1974 {c |}{col 19}{res}{space 2}-.0852302{col 31}{space 2} .0801791{col 42}{space 1}   -1.06{col 51}{space 3}0.288{col 59}{space 4}-.2423785{col 72}{space 3}  .071918
{txt}lnrepression70_77 {c |}{col 19}{res}{space 2} .7079822{col 31}{space 2}  .199385{col 42}{space 1}    3.55{col 51}{space 3}0.000{col 59}{space 4} .3171948{col 72}{space 3}  1.09877
{txt}{space 12}zone2 {c |}{col 19}{res}{space 2} -2.06186{col 31}{space 2} .4165137{col 42}{space 1}   -4.95{col 51}{space 3}0.000{col 59}{space 4}-2.878212{col 72}{space 3}-1.245508
{txt}{space 12}zone3 {c |}{col 19}{res}{space 2}-.9603111{col 31}{space 2} .2551367{col 42}{space 1}   -3.76{col 51}{space 3}0.000{col 59}{space 4} -1.46037{col 72}{space 3}-.4602523
{txt}{space 12}zone4 {c |}{col 19}{res}{space 2}-.3781059{col 31}{space 2} .2678405{col 42}{space 1}   -1.41{col 51}{space 3}0.158{col 59}{space 4}-.9030636{col 72}{space 3} .1468519
{txt}{space 12}zone5 {c |}{col 19}{res}{space 2}-.9358364{col 31}{space 2}  .482906{col 42}{space 1}   -1.94{col 51}{space 3}0.053{col 59}{space 4}-1.882315{col 72}{space 3}  .010642
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-13.71581{col 31}{space 2} 3.657005{col 42}{space 1}   -3.75{col 51}{space 3}0.000{col 59}{space 4}-20.88341{col 72}{space 3}-6.548211
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}/lnalpha {c |}{col 19}{res}{space 2}   1.7229{col 31}{space 2} .3293664{col 59}{space 4} 1.077354{col 72}{space 3} 2.368447
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
            alpha {c |}{col 19}{res}{space 2}  5.60075{col 31}{space 2} 1.844699{col 59}{space 4} 2.936899{col 72}{space 3} 10.68079
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         
.         *Model 3        
.         nbreg repression hostcitytime hostcitytime2 hostcity time time2 lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77 zone2-zone5 if hostcitynum!=3, robust                       

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-12101.133}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-11133.043}  (not concave)
Iteration 2:{space 3}log pseudolikelihood = {res:-11077.378}  (not concave)
Iteration 3:{space 3}log pseudolikelihood = {res:-10904.597}  (not concave)
Iteration 4:{space 3}log pseudolikelihood = {res:-10836.568}  
Iteration 5:{space 3}log pseudolikelihood = {res:-6092.9555}  (backed up)
Iteration 6:{space 3}log pseudolikelihood = {res:-2856.4755}  (backed up)
Iteration 7:{space 3}log pseudolikelihood = {res:-2508.2896}  (backed up)
Iteration 8:{space 3}log pseudolikelihood = {res:-2289.4363}  (backed up)
Iteration 9:{space 3}log pseudolikelihood = {res:-1738.3589}  
Iteration 10:{space 2}log pseudolikelihood = {res:-1305.8975}  
Iteration 11:{space 2}log pseudolikelihood = {res: -1083.505}  
Iteration 12:{space 2}log pseudolikelihood = {res:-1076.2328}  
Iteration 13:{space 2}log pseudolikelihood = {res:-1075.9685}  
Iteration 14:{space 2}log pseudolikelihood = {res:-1075.9676}  
Iteration 15:{space 2}log pseudolikelihood = {res:-1075.9676}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -1802.677}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1463.2417}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1462.0903}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1462.0891}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1462.0891}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1361.2874}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1213.4653}  
Iteration 2:{space 3}log pseudolikelihood = {res: -1018.282}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1003.5692}  
Iteration 4:{space 3}log pseudolikelihood = {res:-992.51414}  
Iteration 5:{space 3}log pseudolikelihood = {res:-992.24338}  
Iteration 6:{space 3}log pseudolikelihood = {res:-992.24284}  
Iteration 7:{space 3}log pseudolikelihood = {res:-992.24284}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}    56,277
{txt}{col 49}Wald chi2({res}14{txt}){col 67}= {res}    640.83
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-992.24284{txt}{col 49}Pseudo R2{col 67}= {res}    0.3214

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}       repression{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}hostcitytime {c |}{col 19}{res}{space 2} 7.473383{col 31}{space 2}  2.02486{col 42}{space 1}    3.69{col 51}{space 3}0.000{col 59}{space 4} 3.504731{col 72}{space 3} 11.44204
{txt}{space 4}hostcitytime2 {c |}{col 19}{res}{space 2}-6.096194{col 31}{space 2}  1.61623{col 42}{space 1}   -3.77{col 51}{space 3}0.000{col 59}{space 4}-9.263947{col 72}{space 3}-2.928441
{txt}{space 9}hostcity {c |}{col 19}{res}{space 2}-1.380434{col 31}{space 2} .6287735{col 42}{space 1}   -2.20{col 51}{space 3}0.028{col 59}{space 4}-2.612807{col 72}{space 3}-.1480603
{txt}{space 13}time {c |}{col 19}{res}{space 2}-1.937044{col 31}{space 2} 1.212687{col 42}{space 1}   -1.60{col 51}{space 3}0.110{col 59}{space 4}-4.313868{col 72}{space 3} .4397788
{txt}{space 12}time2 {c |}{col 19}{res}{space 2} 1.380283{col 31}{space 2} .9562171{col 42}{space 1}    1.44{col 51}{space 3}0.149{col 59}{space 4}-.4938682{col 72}{space 3} 3.254434
{txt}{space 7}lnpop_1970 {c |}{col 19}{res}{space 2} .3763042{col 31}{space 2} .2535408{col 42}{space 1}    1.48{col 51}{space 3}0.138{col 59}{space 4}-.1206267{col 72}{space 3} .8732351
{txt}{space 5}vote_frejuli {c |}{col 19}{res}{space 2}  .034401{col 31}{space 2} .0138586{col 42}{space 1}    2.48{col 51}{space 3}0.013{col 59}{space 4} .0072386{col 72}{space 3} .0615634
{txt}{space 5}literacy_avg {c |}{col 19}{res}{space 2} .7063615{col 31}{space 2}  3.36008{col 42}{space 1}    0.21{col 51}{space 3}0.833{col 59}{space 4}-5.879274{col 72}{space 3} 7.291997
{txt}{space 5}lnrebact1974 {c |}{col 19}{res}{space 2}-.0818285{col 31}{space 2} .0705317{col 42}{space 1}   -1.16{col 51}{space 3}0.246{col 59}{space 4}-.2200681{col 72}{space 3} .0564111
{txt}lnrepression70_77 {c |}{col 19}{res}{space 2} .7069643{col 31}{space 2} .1976917{col 42}{space 1}    3.58{col 51}{space 3}0.000{col 59}{space 4} .3194957{col 72}{space 3} 1.094433
{txt}{space 12}zone2 {c |}{col 19}{res}{space 2}-2.660546{col 31}{space 2} .7078218{col 42}{space 1}   -3.76{col 51}{space 3}0.000{col 59}{space 4}-4.047851{col 72}{space 3}-1.273241
{txt}{space 12}zone3 {c |}{col 19}{res}{space 2}-.9965694{col 31}{space 2} .2554793{col 42}{space 1}   -3.90{col 51}{space 3}0.000{col 59}{space 4}  -1.4973{col 72}{space 3}-.4958391
{txt}{space 12}zone4 {c |}{col 19}{res}{space 2}-.4028678{col 31}{space 2} .2636985{col 42}{space 1}   -1.53{col 51}{space 3}0.127{col 59}{space 4}-.9197074{col 72}{space 3} .1139719
{txt}{space 12}zone5 {c |}{col 19}{res}{space 2}-1.016967{col 31}{space 2} .4654017{col 42}{space 1}   -2.19{col 51}{space 3}0.029{col 59}{space 4}-1.929138{col 72}{space 3}-.1047966
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-12.85548{col 31}{space 2} 3.449415{col 42}{space 1}   -3.73{col 51}{space 3}0.000{col 59}{space 4}-19.61621{col 72}{space 3}-6.094749
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}/lnalpha {c |}{col 19}{res}{space 2} 1.788536{col 31}{space 2}  .310606{col 59}{space 4} 1.179759{col 72}{space 3} 2.397313
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
            alpha {c |}{col 19}{res}{space 2}  5.98069{col 31}{space 2} 1.857638{col 59}{space 4} 3.253591{col 72}{space 3} 10.99359
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         
.         *Model 4        
.         nbreg repression hostcitytime hostcitytime2 hostcity time time2 lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77 zone2-zone5 if hostcitynum!=4, robust                       

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-12023.313}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-11061.448}  (not concave)
Iteration 2:{space 3}log pseudolikelihood = {res:-10950.834}  (not concave)
Iteration 3:{space 3}log pseudolikelihood = {res:-10600.767}  (not concave)
Iteration 4:{space 3}log pseudolikelihood = {res: -10558.63}  (not concave)
Iteration 5:{space 3}log pseudolikelihood = {res:-10308.395}  (not concave)
Iteration 6:{space 3}log pseudolikelihood = {res:-10216.089}  (not concave)
Iteration 7:{space 3}log pseudolikelihood = {res:-9992.8985}  (not concave)
Iteration 8:{space 3}log pseudolikelihood = {res:-8493.1069}  (not concave)
Iteration 9:{space 3}log pseudolikelihood = {res:-7422.0622}  (not concave)
Iteration 10:{space 2}log pseudolikelihood = {res:-7237.3231}  (not concave)
Iteration 11:{space 2}log pseudolikelihood = {res:-7001.4187}  (not concave)
Iteration 12:{space 2}log pseudolikelihood = {res:-6802.0102}  (not concave)
Iteration 13:{space 2}log pseudolikelihood = {res:-6570.3206}  (not concave)
Iteration 14:{space 2}log pseudolikelihood = {res:-5108.5734}  
Iteration 15:{space 2}log pseudolikelihood = {res:-3427.9589}  (backed up)
Iteration 16:{space 2}log pseudolikelihood = {res:-2272.7954}  (backed up)
Iteration 17:{space 2}log pseudolikelihood = {res:-1994.3626}  (backed up)
Iteration 18:{space 2}log pseudolikelihood = {res:-1255.1491}  
Iteration 19:{space 2}log pseudolikelihood = {res:-1102.5634}  
Iteration 20:{space 2}log pseudolikelihood = {res:-1066.5254}  
Iteration 21:{space 2}log pseudolikelihood = {res:-1065.3515}  
Iteration 22:{space 2}log pseudolikelihood = {res:-1065.3402}  
Iteration 23:{space 2}log pseudolikelihood = {res:-1065.3402}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1786.8104}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1446.0993}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1443.9678}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1443.9631}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1443.9631}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1344.8848}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1211.5658}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1002.6633}  
Iteration 3:{space 3}log pseudolikelihood = {res:-982.96661}  
Iteration 4:{space 3}log pseudolikelihood = {res:-980.42096}  
Iteration 5:{space 3}log pseudolikelihood = {res:-980.40029}  
Iteration 6:{space 3}log pseudolikelihood = {res:-980.40029}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}    56,277
{txt}{col 49}Wald chi2({res}14{txt}){col 67}= {res}    686.60
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-980.40029{txt}{col 49}Pseudo R2{col 67}= {res}    0.3210

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}       repression{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}hostcitytime {c |}{col 19}{res}{space 2} 8.106512{col 31}{space 2} 2.071576{col 42}{space 1}    3.91{col 51}{space 3}0.000{col 59}{space 4} 4.046298{col 72}{space 3} 12.16673
{txt}{space 4}hostcitytime2 {c |}{col 19}{res}{space 2}-6.752715{col 31}{space 2} 1.653755{col 42}{space 1}   -4.08{col 51}{space 3}0.000{col 59}{space 4}-9.994016{col 72}{space 3}-3.511414
{txt}{space 9}hostcity {c |}{col 19}{res}{space 2}-1.095359{col 31}{space 2} .6234077{col 42}{space 1}   -1.76{col 51}{space 3}0.079{col 59}{space 4}-2.317216{col 72}{space 3} .1264974
{txt}{space 13}time {c |}{col 19}{res}{space 2}-1.921174{col 31}{space 2} 1.207779{col 42}{space 1}   -1.59{col 51}{space 3}0.112{col 59}{space 4}-4.288377{col 72}{space 3} .4460294
{txt}{space 12}time2 {c |}{col 19}{res}{space 2} 1.365314{col 31}{space 2}  .954446{col 42}{space 1}    1.43{col 51}{space 3}0.153{col 59}{space 4}-.5053657{col 72}{space 3} 3.235994
{txt}{space 7}lnpop_1970 {c |}{col 19}{res}{space 2} .3980313{col 31}{space 2} .2388883{col 42}{space 1}    1.67{col 51}{space 3}0.096{col 59}{space 4}-.0701812{col 72}{space 3} .8662438
{txt}{space 5}vote_frejuli {c |}{col 19}{res}{space 2} .0360764{col 31}{space 2} .0129867{col 42}{space 1}    2.78{col 51}{space 3}0.005{col 59}{space 4}  .010623{col 72}{space 3} .0615299
{txt}{space 5}literacy_avg {c |}{col 19}{res}{space 2}  .778406{col 31}{space 2} 3.525624{col 42}{space 1}    0.22{col 51}{space 3}0.825{col 59}{space 4}-6.131691{col 72}{space 3} 7.688503
{txt}{space 5}lnrebact1974 {c |}{col 19}{res}{space 2} .0174936{col 31}{space 2}  .084527{col 42}{space 1}    0.21{col 51}{space 3}0.836{col 59}{space 4}-.1481762{col 72}{space 3} .1831635
{txt}lnrepression70_77 {c |}{col 19}{res}{space 2} .7001883{col 31}{space 2}  .185664{col 42}{space 1}    3.77{col 51}{space 3}0.000{col 59}{space 4} .3362936{col 72}{space 3} 1.064083
{txt}{space 12}zone2 {c |}{col 19}{res}{space 2}-2.046141{col 31}{space 2}  .414667{col 42}{space 1}   -4.93{col 51}{space 3}0.000{col 59}{space 4}-2.858873{col 72}{space 3}-1.233408
{txt}{space 12}zone3 {c |}{col 19}{res}{space 2}-.4973889{col 31}{space 2} .3459188{col 42}{space 1}   -1.44{col 51}{space 3}0.150{col 59}{space 4}-1.175377{col 72}{space 3} .1805996
{txt}{space 12}zone4 {c |}{col 19}{res}{space 2}-.3537255{col 31}{space 2} .2674333{col 42}{space 1}   -1.32{col 51}{space 3}0.186{col 59}{space 4} -.877885{col 72}{space 3} .1704341
{txt}{space 12}zone5 {c |}{col 19}{res}{space 2}-.6767342{col 31}{space 2} .4953338{col 42}{space 1}   -1.37{col 51}{space 3}0.172{col 59}{space 4}-1.647571{col 72}{space 3} .2941021
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-13.79565{col 31}{space 2}  3.50107{col 42}{space 1}   -3.94{col 51}{space 3}0.000{col 59}{space 4}-20.65762{col 72}{space 3}-6.933678
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}/lnalpha {c |}{col 19}{res}{space 2} 1.816519{col 31}{space 2} .3039853{col 59}{space 4} 1.220719{col 72}{space 3}  2.41232
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
            alpha {c |}{col 19}{res}{space 2} 6.150413{col 31}{space 2} 1.869636{col 59}{space 4} 3.389624{col 72}{space 3} 11.15982
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         
.         *Model 5        
.         nbreg repression hostcitytime hostcitytime2 hostcity time time2 lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77 zone2-zone5 if hostcitynum!=5, robust                       

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -12376.01}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-11385.929}  (not concave)
Iteration 2:{space 3}log pseudolikelihood = {res: -11272.07}  (not concave)
Iteration 3:{space 3}log pseudolikelihood = {res:-10912.054}  
Iteration 4:{space 3}log pseudolikelihood = {res:-5798.3289}  (backed up)
Iteration 5:{space 3}log pseudolikelihood = {res:-2729.7977}  (backed up)
Iteration 6:{space 3}log pseudolikelihood = {res:-2715.3335}  (backed up)
Iteration 7:{space 3}log pseudolikelihood = {res:-1785.3443}  
Iteration 8:{space 3}log pseudolikelihood = {res:-1343.9283}  
Iteration 9:{space 3}log pseudolikelihood = {res:-1134.4298}  
Iteration 10:{space 2}log pseudolikelihood = {res:-1082.5287}  
Iteration 11:{space 2}log pseudolikelihood = {res:-1081.5665}  
Iteration 12:{space 2}log pseudolikelihood = {res: -1081.554}  
Iteration 13:{space 2}log pseudolikelihood = {res: -1081.554}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1813.2374}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1474.8018}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1474.1406}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1474.1402}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1474.1402}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1365.4113}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1265.5451}  (not concave)
Iteration 2:{space 3}log pseudolikelihood = {res:-1098.3539}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1025.3195}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1011.7317}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1000.0901}  
Iteration 6:{space 3}log pseudolikelihood = {res:-998.05346}  
Iteration 7:{space 3}log pseudolikelihood = {res:-998.04508}  
Iteration 8:{space 3}log pseudolikelihood = {res:-998.04508}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}    56,277
{txt}{col 49}Wald chi2({res}14{txt}){col 67}= {res}    679.38
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-998.04508{txt}{col 49}Pseudo R2{col 67}= {res}    0.3230

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}       repression{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}hostcitytime {c |}{col 19}{res}{space 2} 7.821714{col 31}{space 2} 1.988555{col 42}{space 1}    3.93{col 51}{space 3}0.000{col 59}{space 4} 3.924218{col 72}{space 3} 11.71921
{txt}{space 4}hostcitytime2 {c |}{col 19}{res}{space 2} -6.59446{col 31}{space 2} 1.614315{col 42}{space 1}   -4.08{col 51}{space 3}0.000{col 59}{space 4}-9.758459{col 72}{space 3} -3.43046
{txt}{space 9}hostcity {c |}{col 19}{res}{space 2}-1.329437{col 31}{space 2} .6123841{col 42}{space 1}   -2.17{col 51}{space 3}0.030{col 59}{space 4}-2.529688{col 72}{space 3}-.1291863
{txt}{space 13}time {c |}{col 19}{res}{space 2}-1.931516{col 31}{space 2} 1.215557{col 42}{space 1}   -1.59{col 51}{space 3}0.112{col 59}{space 4}-4.313964{col 72}{space 3} .4509316
{txt}{space 12}time2 {c |}{col 19}{res}{space 2} 1.373078{col 31}{space 2}  .958215{col 42}{space 1}    1.43{col 51}{space 3}0.152{col 59}{space 4}-.5049887{col 72}{space 3} 3.251145
{txt}{space 7}lnpop_1970 {c |}{col 19}{res}{space 2} .3929874{col 31}{space 2} .2584395{col 42}{space 1}    1.52{col 51}{space 3}0.128{col 59}{space 4}-.1135446{col 72}{space 3} .8995194
{txt}{space 5}vote_frejuli {c |}{col 19}{res}{space 2} .0381375{col 31}{space 2}  .013689{col 42}{space 1}    2.79{col 51}{space 3}0.005{col 59}{space 4} .0113076{col 72}{space 3} .0649675
{txt}{space 5}literacy_avg {c |}{col 19}{res}{space 2} .5268458{col 31}{space 2} 3.348057{col 42}{space 1}    0.16{col 51}{space 3}0.875{col 59}{space 4}-6.035226{col 72}{space 3} 7.088918
{txt}{space 5}lnrebact1974 {c |}{col 19}{res}{space 2}-.0651955{col 31}{space 2} .0715894{col 42}{space 1}   -0.91{col 51}{space 3}0.362{col 59}{space 4}-.2055081{col 72}{space 3} .0751172
{txt}lnrepression70_77 {c |}{col 19}{res}{space 2} .7106852{col 31}{space 2} .2038093{col 42}{space 1}    3.49{col 51}{space 3}0.000{col 59}{space 4} .3112264{col 72}{space 3} 1.110144
{txt}{space 12}zone2 {c |}{col 19}{res}{space 2}-2.087528{col 31}{space 2} .4194444{col 42}{space 1}   -4.98{col 51}{space 3}0.000{col 59}{space 4}-2.909624{col 72}{space 3}-1.265432
{txt}{space 12}zone3 {c |}{col 19}{res}{space 2}-1.029766{col 31}{space 2} .2618062{col 42}{space 1}   -3.93{col 51}{space 3}0.000{col 59}{space 4}-1.542897{col 72}{space 3}-.5166355
{txt}{space 12}zone4 {c |}{col 19}{res}{space 2}-.3937836{col 31}{space 2} .2646342{col 42}{space 1}   -1.49{col 51}{space 3}0.137{col 59}{space 4}-.9124571{col 72}{space 3}   .12489
{txt}{space 12}zone5 {c |}{col 19}{res}{space 2}-.9294982{col 31}{space 2} .4843453{col 42}{space 1}   -1.92{col 51}{space 3}0.055{col 59}{space 4}-1.878798{col 72}{space 3} .0198012
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-13.22943{col 31}{space 2} 3.473525{col 42}{space 1}   -3.81{col 51}{space 3}0.000{col 59}{space 4}-20.03742{col 72}{space 3}-6.421449
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}/lnalpha {c |}{col 19}{res}{space 2} 1.771826{col 31}{space 2} .3059521{col 59}{space 4} 1.172171{col 72}{space 3} 2.371481
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
            alpha {c |}{col 19}{res}{space 2} 5.881584{col 31}{space 2} 1.799483{col 59}{space 4} 3.228996{col 72}{space 3} 10.71325
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         
.         *Model 6
.         reg lnrepression hostcitytime hostcitytime2 hostcity time time2 lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77 zone2-zone5 if hostcitynum!=1, robust                       

{txt}Linear regression                               Number of obs     = {res}    56,277
                                                {txt}F(14, 56262)      =  {res}     9.11
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0210
                                                {txt}Root MSE          =    {res} .04375

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}     lnrepression{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}hostcitytime {c |}{col 19}{res}{space 2} .2061828{col 31}{space 2} .0789116{col 42}{space 1}    2.61{col 51}{space 3}0.009{col 59}{space 4} .0515157{col 72}{space 3}   .36085
{txt}{space 4}hostcitytime2 {c |}{col 19}{res}{space 2}-.1755982{col 31}{space 2} .0616754{col 42}{space 1}   -2.85{col 51}{space 3}0.004{col 59}{space 4}-.2964824{col 72}{space 3} -.054714
{txt}{space 9}hostcity {c |}{col 19}{res}{space 2}-.0238511{col 31}{space 2} .0179405{col 42}{space 1}   -1.33{col 51}{space 3}0.184{col 59}{space 4}-.0590146{col 72}{space 3} .0113125
{txt}{space 13}time {c |}{col 19}{res}{space 2}-.0030465{col 31}{space 2} .0023478{col 42}{space 1}   -1.30{col 51}{space 3}0.194{col 59}{space 4}-.0076482{col 72}{space 3} .0015553
{txt}{space 12}time2 {c |}{col 19}{res}{space 2} .0021693{col 31}{space 2} .0018204{col 42}{space 1}    1.19{col 51}{space 3}0.233{col 59}{space 4}-.0013988{col 72}{space 3} .0057374
{txt}{space 7}lnpop_1970 {c |}{col 19}{res}{space 2}  .001436{col 31}{space 2} .0003114{col 42}{space 1}    4.61{col 51}{space 3}0.000{col 59}{space 4} .0008258{col 72}{space 3} .0020463
{txt}{space 5}vote_frejuli {c |}{col 19}{res}{space 2} .0000568{col 31}{space 2} .0000226{col 42}{space 1}    2.51{col 51}{space 3}0.012{col 59}{space 4} .0000125{col 72}{space 3}  .000101
{txt}{space 5}literacy_avg {c |}{col 19}{res}{space 2}-.0121502{col 31}{space 2} .0018657{col 42}{space 1}   -6.51{col 51}{space 3}0.000{col 59}{space 4} -.015807{col 72}{space 3}-.0084934
{txt}{space 5}lnrebact1974 {c |}{col 19}{res}{space 2}-.0002527{col 31}{space 2} .0001075{col 42}{space 1}   -2.35{col 51}{space 3}0.019{col 59}{space 4}-.0004634{col 72}{space 3}-.0000421
{txt}lnrepression70_77 {c |}{col 19}{res}{space 2} .0030739{col 31}{space 2} .0003828{col 42}{space 1}    8.03{col 51}{space 3}0.000{col 59}{space 4} .0023235{col 72}{space 3} .0038242
{txt}{space 12}zone2 {c |}{col 19}{res}{space 2}-.0068362{col 31}{space 2} .0010076{col 42}{space 1}   -6.78{col 51}{space 3}0.000{col 59}{space 4}-.0088111{col 72}{space 3}-.0048612
{txt}{space 12}zone3 {c |}{col 19}{res}{space 2}-.0056559{col 31}{space 2} .0009395{col 42}{space 1}   -6.02{col 51}{space 3}0.000{col 59}{space 4}-.0074973{col 72}{space 3}-.0038146
{txt}{space 12}zone4 {c |}{col 19}{res}{space 2}-.0038212{col 31}{space 2} .0037153{col 42}{space 1}   -1.03{col 51}{space 3}0.304{col 59}{space 4}-.0111031{col 72}{space 3} .0034607
{txt}{space 12}zone5 {c |}{col 19}{res}{space 2}-.0041059{col 31}{space 2} .0006459{col 42}{space 1}   -6.36{col 51}{space 3}0.000{col 59}{space 4}-.0053718{col 72}{space 3}  -.00284
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-.0037017{col 31}{space 2} .0023189{col 42}{space 1}   -1.60{col 51}{space 3}0.110{col 59}{space 4}-.0082468{col 72}{space 3} .0008434
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         *Model 7        
.         reg lnrepression hostcitytime hostcitytime2 hostcity time time2 lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77 zone2-zone5 if hostcitynum!=2, robust                       

{txt}Linear regression                               Number of obs     = {res}    56,277
                                                {txt}F(14, 56262)      =  {res}    12.60
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0678
                                                {txt}Root MSE          =    {res} .05067

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}     lnrepression{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}hostcitytime {c |}{col 19}{res}{space 2} .4673721{col 31}{space 2} .1686627{col 42}{space 1}    2.77{col 51}{space 3}0.006{col 59}{space 4} .1367922{col 72}{space 3}  .797952
{txt}{space 4}hostcitytime2 {c |}{col 19}{res}{space 2} -.363792{col 31}{space 2} .1294149{col 42}{space 1}   -2.81{col 51}{space 3}0.005{col 59}{space 4} -.617446{col 72}{space 3}-.1101379
{txt}{space 9}hostcity {c |}{col 19}{res}{space 2}-.0086109{col 31}{space 2} .0392288{col 42}{space 1}   -0.22{col 51}{space 3}0.826{col 59}{space 4}-.0854996{col 72}{space 3} .0682777
{txt}{space 13}time {c |}{col 19}{res}{space 2}-.0030465{col 31}{space 2} .0023507{col 42}{space 1}   -1.30{col 51}{space 3}0.195{col 59}{space 4}-.0076538{col 72}{space 3} .0015608
{txt}{space 12}time2 {c |}{col 19}{res}{space 2} .0021693{col 31}{space 2} .0018231{col 42}{space 1}    1.19{col 51}{space 3}0.234{col 59}{space 4} -.001404{col 72}{space 3} .0057426
{txt}{space 7}lnpop_1970 {c |}{col 19}{res}{space 2} .0032785{col 31}{space 2} .0004135{col 42}{space 1}    7.93{col 51}{space 3}0.000{col 59}{space 4}  .002468{col 72}{space 3}  .004089
{txt}{space 5}vote_frejuli {c |}{col 19}{res}{space 2} .0000204{col 31}{space 2} .0000237{col 42}{space 1}    0.86{col 51}{space 3}0.389{col 59}{space 4} -.000026{col 72}{space 3} .0000668
{txt}{space 5}literacy_avg {c |}{col 19}{res}{space 2}-.0244892{col 31}{space 2} .0026147{col 42}{space 1}   -9.37{col 51}{space 3}0.000{col 59}{space 4}-.0296139{col 72}{space 3}-.0193644
{txt}{space 5}lnrebact1974 {c |}{col 19}{res}{space 2}-.0013304{col 31}{space 2} .0001938{col 42}{space 1}   -6.86{col 51}{space 3}0.000{col 59}{space 4}-.0017104{col 72}{space 3}-.0009505
{txt}lnrepression70_77 {c |}{col 19}{res}{space 2} .0030704{col 31}{space 2} .0003813{col 42}{space 1}    8.05{col 51}{space 3}0.000{col 59}{space 4} .0023231{col 72}{space 3} .0038178
{txt}{space 12}zone2 {c |}{col 19}{res}{space 2}-.0153361{col 31}{space 2} .0016103{col 42}{space 1}   -9.52{col 51}{space 3}0.000{col 59}{space 4}-.0184923{col 72}{space 3}  -.01218
{txt}{space 12}zone3 {c |}{col 19}{res}{space 2}-.0123972{col 31}{space 2} .0013608{col 42}{space 1}   -9.11{col 51}{space 3}0.000{col 59}{space 4}-.0150643{col 72}{space 3}-.0097301
{txt}{space 12}zone4 {c |}{col 19}{res}{space 2}-.0083735{col 31}{space 2} .0037662{col 42}{space 1}   -2.22{col 51}{space 3}0.026{col 59}{space 4}-.0157553{col 72}{space 3}-.0009918
{txt}{space 12}zone5 {c |}{col 19}{res}{space 2}-.0097222{col 31}{space 2} .0010515{col 42}{space 1}   -9.25{col 51}{space 3}0.000{col 59}{space 4}-.0117831{col 72}{space 3}-.0076613
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-.0032296{col 31}{space 2} .0023559{col 42}{space 1}   -1.37{col 51}{space 3}0.170{col 59}{space 4}-.0078472{col 72}{space 3} .0013881
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         *Model 8        
.         reg lnrepression hostcitytime hostcitytime2 hostcity time time2 lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77 zone2-zone5 if hostcitynum!=3, robust                       

{txt}Linear regression                               Number of obs     = {res}    56,277
                                                {txt}F(14, 56262)      =  {res}    12.82
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0691
                                                {txt}Root MSE          =    {res} .05126

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}     lnrepression{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}hostcitytime {c |}{col 19}{res}{space 2} .4404836{col 31}{space 2} .1729468{col 42}{space 1}    2.55{col 51}{space 3}0.011{col 59}{space 4} .1015068{col 72}{space 3} .7794604
{txt}{space 4}hostcitytime2 {c |}{col 19}{res}{space 2} -.351094{col 31}{space 2} .1324209{col 42}{space 1}   -2.65{col 51}{space 3}0.008{col 59}{space 4}-.6106397{col 72}{space 3}-.0915483
{txt}{space 9}hostcity {c |}{col 19}{res}{space 2} .0058524{col 31}{space 2} .0412573{col 42}{space 1}    0.14{col 51}{space 3}0.887{col 59}{space 4}-.0750122{col 72}{space 3}  .086717
{txt}{space 13}time {c |}{col 19}{res}{space 2}-.0030465{col 31}{space 2} .0023496{col 42}{space 1}   -1.30{col 51}{space 3}0.195{col 59}{space 4}-.0076517{col 72}{space 3} .0015587
{txt}{space 12}time2 {c |}{col 19}{res}{space 2} .0021693{col 31}{space 2} .0018222{col 42}{space 1}    1.19{col 51}{space 3}0.234{col 59}{space 4}-.0014023{col 72}{space 3} .0057409
{txt}{space 7}lnpop_1970 {c |}{col 19}{res}{space 2} .0029936{col 31}{space 2} .0003882{col 42}{space 1}    7.71{col 51}{space 3}0.000{col 59}{space 4} .0022327{col 72}{space 3} .0037545
{txt}{space 5}vote_frejuli {c |}{col 19}{res}{space 2}  .000053{col 31}{space 2} .0000224{col 42}{space 1}    2.37{col 51}{space 3}0.018{col 59}{space 4} 9.16e-06{col 72}{space 3} .0000969
{txt}{space 5}literacy_avg {c |}{col 19}{res}{space 2} -.018792{col 31}{space 2} .0020156{col 42}{space 1}   -9.32{col 51}{space 3}0.000{col 59}{space 4}-.0227426{col 72}{space 3}-.0148414
{txt}{space 5}lnrebact1974 {c |}{col 19}{res}{space 2}-.0012135{col 31}{space 2} .0001839{col 42}{space 1}   -6.60{col 51}{space 3}0.000{col 59}{space 4}-.0015738{col 72}{space 3}-.0008531
{txt}lnrepression70_77 {c |}{col 19}{res}{space 2} .0032015{col 31}{space 2} .0003829{col 42}{space 1}    8.36{col 51}{space 3}0.000{col 59}{space 4}  .002451{col 72}{space 3}  .003952
{txt}{space 12}zone2 {c |}{col 19}{res}{space 2}-.0125431{col 31}{space 2} .0012918{col 42}{space 1}   -9.71{col 51}{space 3}0.000{col 59}{space 4} -.015075{col 72}{space 3}-.0100112
{txt}{space 12}zone3 {c |}{col 19}{res}{space 2}-.0112792{col 31}{space 2} .0012536{col 42}{space 1}   -9.00{col 51}{space 3}0.000{col 59}{space 4}-.0137363{col 72}{space 3}-.0088221
{txt}{space 12}zone4 {c |}{col 19}{res}{space 2}-.0079115{col 31}{space 2}  .003755{col 42}{space 1}   -2.11{col 51}{space 3}0.035{col 59}{space 4}-.0152713{col 72}{space 3}-.0005516
{txt}{space 12}zone5 {c |}{col 19}{res}{space 2}-.0081718{col 31}{space 2} .0008792{col 42}{space 1}   -9.29{col 51}{space 3}0.000{col 59}{space 4} -.009895{col 72}{space 3}-.0064485
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-.0080677{col 31}{space 2} .0022987{col 42}{space 1}   -3.51{col 51}{space 3}0.000{col 59}{space 4}-.0125732{col 72}{space 3}-.0035621
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         *Model 9        
.         reg lnrepression hostcitytime hostcitytime2 hostcity time time2 lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77 zone2-zone5 if hostcitynum!=4, robust                       

{txt}Linear regression                               Number of obs     = {res}    56,277
                                                {txt}F(14, 56262)      =  {res}    12.58
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0670
                                                {txt}Root MSE          =    {res} .05108

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}     lnrepression{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}hostcitytime {c |}{col 19}{res}{space 2} .4276713{col 31}{space 2} .1723162{col 42}{space 1}    2.48{col 51}{space 3}0.013{col 59}{space 4} .0899306{col 72}{space 3}  .765412
{txt}{space 4}hostcitytime2 {c |}{col 19}{res}{space 2}-.3455405{col 31}{space 2}  .131416{col 42}{space 1}   -2.63{col 51}{space 3}0.009{col 59}{space 4}-.6031167{col 72}{space 3}-.0879643
{txt}{space 9}hostcity {c |}{col 19}{res}{space 2} .0065765{col 31}{space 2}  .041118{col 42}{space 1}    0.16{col 51}{space 3}0.873{col 59}{space 4} -.074015{col 72}{space 3} .0871679
{txt}{space 13}time {c |}{col 19}{res}{space 2}-.0030465{col 31}{space 2} .0023502{col 42}{space 1}   -1.30{col 51}{space 3}0.195{col 59}{space 4}-.0076528{col 72}{space 3} .0015599
{txt}{space 12}time2 {c |}{col 19}{res}{space 2} .0021693{col 31}{space 2} .0018228{col 42}{space 1}    1.19{col 51}{space 3}0.234{col 59}{space 4}-.0014035{col 72}{space 3} .0057421
{txt}{space 7}lnpop_1970 {c |}{col 19}{res}{space 2} .0032245{col 31}{space 2} .0004079{col 42}{space 1}    7.91{col 51}{space 3}0.000{col 59}{space 4} .0024251{col 72}{space 3}  .004024
{txt}{space 5}vote_frejuli {c |}{col 19}{res}{space 2} 5.37e-08{col 31}{space 2} .0000246{col 42}{space 1}    0.00{col 51}{space 3}0.998{col 59}{space 4}-.0000481{col 72}{space 3} .0000482
{txt}{space 5}literacy_avg {c |}{col 19}{res}{space 2}-.0240124{col 31}{space 2} .0025753{col 42}{space 1}   -9.32{col 51}{space 3}0.000{col 59}{space 4}-.0290599{col 72}{space 3}-.0189648
{txt}{space 5}lnrebact1974 {c |}{col 19}{res}{space 2}-.0013275{col 31}{space 2}  .000195{col 42}{space 1}   -6.81{col 51}{space 3}0.000{col 59}{space 4}-.0017097{col 72}{space 3}-.0009454
{txt}lnrepression70_77 {c |}{col 19}{res}{space 2} .0032807{col 31}{space 2} .0003829{col 42}{space 1}    8.57{col 51}{space 3}0.000{col 59}{space 4} .0025303{col 72}{space 3} .0040311
{txt}{space 12}zone2 {c |}{col 19}{res}{space 2}-.0143561{col 31}{space 2}  .001497{col 42}{space 1}   -9.59{col 51}{space 3}0.000{col 59}{space 4}-.0172903{col 72}{space 3}-.0114219
{txt}{space 12}zone3 {c |}{col 19}{res}{space 2}-.0108347{col 31}{space 2} .0011833{col 42}{space 1}   -9.16{col 51}{space 3}0.000{col 59}{space 4} -.013154{col 72}{space 3}-.0085154
{txt}{space 12}zone4 {c |}{col 19}{res}{space 2}-.0081921{col 31}{space 2} .0037609{col 42}{space 1}   -2.18{col 51}{space 3}0.029{col 59}{space 4}-.0155635{col 72}{space 3}-.0008207
{txt}{space 12}zone5 {c |}{col 19}{res}{space 2} -.008772{col 31}{space 2} .0009359{col 42}{space 1}   -9.37{col 51}{space 3}0.000{col 59}{space 4}-.0106063{col 72}{space 3}-.0069376
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-.0029798{col 31}{space 2} .0023609{col 42}{space 1}   -1.26{col 51}{space 3}0.207{col 59}{space 4}-.0076071{col 72}{space 3} .0016475
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         *Model 10       
.         reg lnrepression hostcitytime hostcitytime2 hostcity time time2 lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77 zone2-zone5 if hostcitynum!=5, robust                       

{txt}Linear regression                               Number of obs     = {res}    56,277
                                                {txt}F(14, 56262)      =  {res}    12.92
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0703
                                                {txt}Root MSE          =    {res} .05138

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}     lnrepression{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}hostcitytime {c |}{col 19}{res}{space 2} .4655147{col 31}{space 2}  .174264{col 42}{space 1}    2.67{col 51}{space 3}0.008{col 59}{space 4} .1239563{col 72}{space 3} .8070731
{txt}{space 4}hostcitytime2 {c |}{col 19}{res}{space 2} -.379507{col 31}{space 2} .1338097{col 42}{space 1}   -2.84{col 51}{space 3}0.005{col 59}{space 4}-.6417748{col 72}{space 3}-.1172392
{txt}{space 9}hostcity {c |}{col 19}{res}{space 2} .0057643{col 31}{space 2} .0414046{col 42}{space 1}    0.14{col 51}{space 3}0.889{col 59}{space 4} -.075389{col 72}{space 3} .0869176
{txt}{space 13}time {c |}{col 19}{res}{space 2}-.0030465{col 31}{space 2} .0023503{col 42}{space 1}   -1.30{col 51}{space 3}0.195{col 59}{space 4}-.0076531{col 72}{space 3} .0015602
{txt}{space 12}time2 {c |}{col 19}{res}{space 2} .0021693{col 31}{space 2} .0018228{col 42}{space 1}    1.19{col 51}{space 3}0.234{col 59}{space 4}-.0014033{col 72}{space 3} .0057419
{txt}{space 7}lnpop_1970 {c |}{col 19}{res}{space 2} .0030485{col 31}{space 2} .0003952{col 42}{space 1}    7.71{col 51}{space 3}0.000{col 59}{space 4} .0022738{col 72}{space 3} .0038231
{txt}{space 5}vote_frejuli {c |}{col 19}{res}{space 2}-.0000221{col 31}{space 2} .0000253{col 42}{space 1}   -0.88{col 51}{space 3}0.381{col 59}{space 4}-.0000717{col 72}{space 3} .0000274
{txt}{space 5}literacy_avg {c |}{col 19}{res}{space 2}-.0215651{col 31}{space 2} .0023646{col 42}{space 1}   -9.12{col 51}{space 3}0.000{col 59}{space 4}-.0261998{col 72}{space 3}-.0169305
{txt}{space 5}lnrebact1974 {c |}{col 19}{res}{space 2}-.0014391{col 31}{space 2} .0002073{col 42}{space 1}   -6.94{col 51}{space 3}0.000{col 59}{space 4}-.0018455{col 72}{space 3}-.0010327
{txt}lnrepression70_77 {c |}{col 19}{res}{space 2} .0030757{col 31}{space 2} .0003834{col 42}{space 1}    8.02{col 51}{space 3}0.000{col 59}{space 4} .0023241{col 72}{space 3} .0038272
{txt}{space 12}zone2 {c |}{col 19}{res}{space 2}-.0141763{col 31}{space 2} .0014917{col 42}{space 1}   -9.50{col 51}{space 3}0.000{col 59}{space 4}-.0171002{col 72}{space 3}-.0112525
{txt}{space 12}zone3 {c |}{col 19}{res}{space 2}-.0104953{col 31}{space 2} .0011924{col 42}{space 1}   -8.80{col 51}{space 3}0.000{col 59}{space 4}-.0128324{col 72}{space 3}-.0081582
{txt}{space 12}zone4 {c |}{col 19}{res}{space 2} -.006866{col 31}{space 2} .0037405{col 42}{space 1}   -1.84{col 51}{space 3}0.066{col 59}{space 4}-.0141973{col 72}{space 3} .0004653
{txt}{space 12}zone5 {c |}{col 19}{res}{space 2}-.0088682{col 31}{space 2} .0009643{col 42}{space 1}   -9.20{col 51}{space 3}0.000{col 59}{space 4}-.0107583{col 72}{space 3}-.0069781
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-.0015209{col 31}{space 2} .0023724{col 42}{space 1}   -0.64{col 51}{space 3}0.521{col 59}{space 4}-.0061709{col 72}{space 3} .0031291
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.  
.         
. 
.         ****************************************************************************
.         *Table SI.4.9: Regression results for extended analysis window (January 1, 1978 - June 25, 1978)
.         ****************************************************************************            
.         
.         *Model 1
.         nbreg repression hostcitytime_long hostcitytime2_long hostcitytime3_long hostcity time_long time2_long time3_long, cluster(id)

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-16038.837}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-11697.691}  
Iteration 2:{space 3}log pseudolikelihood = {res:-9331.5673}  (backed up)
Iteration 3:{space 3}log pseudolikelihood = {res:-7600.2122}  (backed up)
Iteration 4:{space 3}log pseudolikelihood = {res:-5529.7487}  (backed up)
Iteration 5:{space 3}log pseudolikelihood = {res:-4769.4854}  (backed up)
Iteration 6:{space 3}log pseudolikelihood = {res:-3889.5735}  
Iteration 7:{space 3}log pseudolikelihood = {res:-3200.4032}  
Iteration 8:{space 3}log pseudolikelihood = {res:-3200.3251}  
Iteration 9:{space 3}log pseudolikelihood = {res:-2465.3433}  
Iteration 10:{space 2}log pseudolikelihood = {res: -2446.327}  
Iteration 11:{space 2}log pseudolikelihood = {res:-2445.5323}  
Iteration 12:{space 2}log pseudolikelihood = {res:  -2445.53}  
Iteration 13:{space 2}log pseudolikelihood = {res:  -2445.53}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2848.4004}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-2287.6383}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2275.5813}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2275.4477}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2275.4477}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2176.6393}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2158.7084}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2100.8723}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2094.3478}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2094.2848}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2094.2847}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}    87,371
{txt}{col 49}Wald chi2({res}7{txt}){col 67}= {res}   1472.61
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-2094.2847{txt}{col 49}Pseudo R2{col 67}= {res}    0.0796

{txt}{ralign 84:(Std. Err. adjusted for {res:497} clusters in id)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}        repression{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}hostcitytime_long {c |}{col 20}{res}{space 2}-3.456794{col 32}{space 2} 1.732657{col 43}{space 1}   -2.00{col 52}{space 3}0.046{col 60}{space 4}-6.852739{col 73}{space 3}-.0608493
{txt}hostcitytime2_long {c |}{col 20}{res}{space 2} 6.694866{col 32}{space 2} 2.190997{col 43}{space 1}    3.06{col 52}{space 3}0.002{col 60}{space 4} 2.400591{col 73}{space 3} 10.98914
{txt}hostcitytime3_long {c |}{col 20}{res}{space 2} -2.97031{col 32}{space 2} .8400238{col 43}{space 1}   -3.54{col 52}{space 3}0.000{col 60}{space 4}-4.616726{col 73}{space 3}-1.323894
{txt}{space 10}hostcity {c |}{col 20}{res}{space 2} 4.355464{col 32}{space 2} .6881285{col 43}{space 1}    6.33{col 52}{space 3}0.000{col 60}{space 4} 3.006757{col 73}{space 3} 5.704171
{txt}{space 9}time_long {c |}{col 20}{res}{space 2} .6680347{col 32}{space 2} 1.502072{col 43}{space 1}    0.44{col 52}{space 3}0.657{col 60}{space 4}-2.275973{col 73}{space 3} 3.612043
{txt}{space 8}time2_long {c |}{col 20}{res}{space 2}-1.273059{col 32}{space 2} 1.833782{col 43}{space 1}   -0.69{col 52}{space 3}0.488{col 60}{space 4}-4.867205{col 73}{space 3} 2.321087
{txt}{space 8}time3_long {c |}{col 20}{res}{space 2} .5095077{col 32}{space 2} .6735359{col 43}{space 1}    0.76{col 52}{space 3}0.449{col 60}{space 4}-.8105984{col 73}{space 3} 1.829614
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}-5.741677{col 32}{space 2} .4071957{col 43}{space 1}  -14.10{col 52}{space 3}0.000{col 60}{space 4}-6.539766{col 73}{space 3}-4.943589
{txt}{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/lnalpha {c |}{col 20}{res}{space 2}  3.76418{col 32}{space 2}  1.49328{col 60}{space 4} .8374043{col 73}{space 3} 6.690955
{txt}{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
             alpha {c |}{col 20}{res}{space 2}  43.1283{col 32}{space 2} 64.40264{col 60}{space 4} 2.310362{col 73}{space 3} 805.0905
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         
.         *Model 2 
.         nbreg repression hostcitytime_long hostcitytime2_long hostcitytime3_long hostcity time_long time2_long time3_long lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77, cluster(id)

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-14404.408}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-10558.178}  (not concave)
Iteration 2:{space 3}log pseudolikelihood = {res:-8736.5845}  (not concave)
Iteration 3:{space 3}log pseudolikelihood = {res:-7498.9668}  (not concave)
Iteration 4:{space 3}log pseudolikelihood = {res:-7272.3647}  
Iteration 5:{space 3}log pseudolikelihood = {res:-6082.6594}  (backed up)
Iteration 6:{space 3}log pseudolikelihood = {res:-4153.9048}  (backed up)
Iteration 7:{space 3}log pseudolikelihood = {res:-2316.0269}  
Iteration 8:{space 3}log pseudolikelihood = {res:-1938.5606}  
Iteration 9:{space 3}log pseudolikelihood = {res:-1779.7906}  
Iteration 10:{space 2}log pseudolikelihood = {res:-1769.7616}  
Iteration 11:{space 2}log pseudolikelihood = {res:-1769.5675}  
Iteration 12:{space 2}log pseudolikelihood = {res:-1769.5672}  
Iteration 13:{space 2}log pseudolikelihood = {res:-1769.5672}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2829.7829}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-2273.1351}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2260.7881}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2260.6467}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2260.6467}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2109.8407}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1956.5132}  (not concave)
Iteration 2:{space 3}log pseudolikelihood = {res:-1718.4804}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1640.6077}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1610.9068}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1596.7244}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1596.0769}  
Iteration 7:{space 3}log pseudolikelihood = {res:-1596.0763}  
Iteration 8:{space 3}log pseudolikelihood = {res:-1596.0763}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}    84,832
{txt}{col 49}Wald chi2({res}12{txt}){col 67}= {res}    892.81
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1596.0763{txt}{col 49}Pseudo R2{col 67}= {res}    0.2940

{txt}{ralign 84:(Std. Err. adjusted for {res:482} clusters in id)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}        repression{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}hostcitytime_long {c |}{col 20}{res}{space 2}-3.749252{col 32}{space 2} 2.348735{col 43}{space 1}   -1.60{col 52}{space 3}0.110{col 60}{space 4}-8.352689{col 73}{space 3} .8541848
{txt}hostcitytime2_long {c |}{col 20}{res}{space 2} 7.125068{col 32}{space 2} 3.050229{col 43}{space 1}    2.34{col 52}{space 3}0.019{col 60}{space 4}  1.14673{col 73}{space 3} 13.10341
{txt}hostcitytime3_long {c |}{col 20}{res}{space 2}-3.111978{col 32}{space 2} 1.123596{col 43}{space 1}   -2.77{col 52}{space 3}0.006{col 60}{space 4}-5.314186{col 73}{space 3}-.9097695
{txt}{space 10}hostcity {c |}{col 20}{res}{space 2} .3312797{col 32}{space 2} .6566962{col 43}{space 1}    0.50{col 52}{space 3}0.614{col 60}{space 4}-.9558212{col 73}{space 3} 1.618381
{txt}{space 9}time_long {c |}{col 20}{res}{space 2}  .944324{col 32}{space 2} 1.882644{col 43}{space 1}    0.50{col 52}{space 3}0.616{col 60}{space 4} -2.74559{col 73}{space 3} 4.634238
{txt}{space 8}time2_long {c |}{col 20}{res}{space 2}-1.716215{col 32}{space 2} 2.324086{col 43}{space 1}   -0.74{col 52}{space 3}0.460{col 60}{space 4}-6.271339{col 73}{space 3}  2.83891
{txt}{space 8}time3_long {c |}{col 20}{res}{space 2} .6698909{col 32}{space 2} .8329298{col 43}{space 1}    0.80{col 52}{space 3}0.421{col 60}{space 4}-.9626214{col 73}{space 3} 2.302403
{txt}{space 8}lnpop_1970 {c |}{col 20}{res}{space 2} .4573393{col 32}{space 2} .3484435{col 43}{space 1}    1.31{col 52}{space 3}0.189{col 60}{space 4}-.2255974{col 73}{space 3} 1.140276
{txt}{space 6}vote_frejuli {c |}{col 20}{res}{space 2} .0075569{col 32}{space 2} .0193315{col 43}{space 1}    0.39{col 52}{space 3}0.696{col 60}{space 4}-.0303321{col 73}{space 3} .0454459
{txt}{space 6}literacy_avg {c |}{col 20}{res}{space 2}-.6947717{col 32}{space 2} 2.798254{col 43}{space 1}   -0.25{col 52}{space 3}0.804{col 60}{space 4} -6.17925{col 73}{space 3} 4.789706
{txt}{space 6}lnrebact1974 {c |}{col 20}{res}{space 2} .2120422{col 32}{space 2} .0780368{col 43}{space 1}    2.72{col 52}{space 3}0.007{col 60}{space 4}  .059093{col 73}{space 3} .3649915
{txt}{space 1}lnrepression70_77 {c |}{col 20}{res}{space 2} .6657349{col 32}{space 2} .2219913{col 43}{space 1}    3.00{col 52}{space 3}0.003{col 60}{space 4}   .23064{col 73}{space 3}  1.10083
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}-12.96999{col 32}{space 2} 3.614755{col 43}{space 1}   -3.59{col 52}{space 3}0.000{col 60}{space 4}-20.05478{col 73}{space 3}-5.885204
{txt}{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/lnalpha {c |}{col 20}{res}{space 2} 2.154219{col 32}{space 2} .8464816{col 60}{space 4} .4951454{col 73}{space 3} 3.813292
{txt}{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
             alpha {c |}{col 20}{res}{space 2} 8.621154{col 32}{space 2} 7.297649{col 60}{space 4} 1.640737{col 73}{space 3} 45.29934
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.                 
.         *Model 3
.         nbreg repression hostcitytime_long hostcitytime2_long hostcitytime3_long hostcity time_long time2_long time3_long lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77 zone2-zone5, cluster(id)                  

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-15041.482}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-13838.163}  (not concave)
Iteration 2:{space 3}log pseudolikelihood = {res:-13768.973}  (not concave)
Iteration 3:{space 3}log pseudolikelihood = {res:-12934.715}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3856.5733}  (backed up)
Iteration 5:{space 3}log pseudolikelihood = {res:-3832.3345}  (backed up)
Iteration 6:{space 3}log pseudolikelihood = {res:-3596.4163}  (backed up)
Iteration 7:{space 3}log pseudolikelihood = {res:-2513.0133}  
Iteration 8:{space 3}log pseudolikelihood = {res:-2042.2267}  
Iteration 9:{space 3}log pseudolikelihood = {res:-1744.8047}  
Iteration 10:{space 2}log pseudolikelihood = {res:-1735.7215}  
Iteration 11:{space 2}log pseudolikelihood = {res:-1735.6199}  
Iteration 12:{space 2}log pseudolikelihood = {res:-1735.6199}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2829.7829}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-2273.1351}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2260.7881}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2260.6467}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2260.6467}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2091.9496}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res: -1897.289}  
Iteration 2:{space 3}log pseudolikelihood = {res: -1602.174}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1580.4819}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1576.3888}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1576.3618}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1576.3618}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}    84,832
{txt}{col 49}Wald chi2({res}16{txt}){col 67}= {res}   1039.08
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1576.3618{txt}{col 49}Pseudo R2{col 67}= {res}    0.3027

{txt}{ralign 84:(Std. Err. adjusted for {res:482} clusters in id)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}        repression{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}hostcitytime_long {c |}{col 20}{res}{space 2}-4.197387{col 32}{space 2} 2.520323{col 43}{space 1}   -1.67{col 52}{space 3}0.096{col 60}{space 4}-9.137129{col 73}{space 3} .7423557
{txt}hostcitytime2_long {c |}{col 20}{res}{space 2} 7.867255{col 32}{space 2} 3.305624{col 43}{space 1}    2.38{col 52}{space 3}0.017{col 60}{space 4}  1.38835{col 73}{space 3} 14.34616
{txt}hostcitytime3_long {c |}{col 20}{res}{space 2}-3.427679{col 32}{space 2} 1.225045{col 43}{space 1}   -2.80{col 52}{space 3}0.005{col 60}{space 4}-5.828724{col 73}{space 3}-1.026634
{txt}{space 10}hostcity {c |}{col 20}{res}{space 2} .5259183{col 32}{space 2} .5586212{col 43}{space 1}    0.94{col 52}{space 3}0.346{col 60}{space 4}-.5689591{col 73}{space 3} 1.620796
{txt}{space 9}time_long {c |}{col 20}{res}{space 2} .8757076{col 32}{space 2} 1.844728{col 43}{space 1}    0.47{col 52}{space 3}0.635{col 60}{space 4}-2.739892{col 73}{space 3} 4.491307
{txt}{space 8}time2_long {c |}{col 20}{res}{space 2}-1.636372{col 32}{space 2} 2.277859{col 43}{space 1}   -0.72{col 52}{space 3}0.473{col 60}{space 4}-6.100895{col 73}{space 3}  2.82815
{txt}{space 8}time3_long {c |}{col 20}{res}{space 2}  .643871{col 32}{space 2} .8163204{col 43}{space 1}    0.79{col 52}{space 3}0.430{col 60}{space 4}-.9560875{col 73}{space 3}  2.24383
{txt}{space 8}lnpop_1970 {c |}{col 20}{res}{space 2} .4762202{col 32}{space 2} .3202815{col 43}{space 1}    1.49{col 52}{space 3}0.137{col 60}{space 4}  -.15152{col 73}{space 3}  1.10396
{txt}{space 6}vote_frejuli {c |}{col 20}{res}{space 2} .0087359{col 32}{space 2}  .015676{col 43}{space 1}    0.56{col 52}{space 3}0.577{col 60}{space 4}-.0219884{col 73}{space 3} .0394602
{txt}{space 6}literacy_avg {c |}{col 20}{res}{space 2}-1.742679{col 32}{space 2} 2.721196{col 43}{space 1}   -0.64{col 52}{space 3}0.522{col 60}{space 4}-7.076126{col 73}{space 3} 3.590767
{txt}{space 6}lnrebact1974 {c |}{col 20}{res}{space 2} .0347293{col 32}{space 2} .0767914{col 43}{space 1}    0.45{col 52}{space 3}0.651{col 60}{space 4}-.1157791{col 73}{space 3} .1852377
{txt}{space 1}lnrepression70_77 {c |}{col 20}{res}{space 2} .6029053{col 32}{space 2} .2229196{col 43}{space 1}    2.70{col 52}{space 3}0.007{col 60}{space 4} .1659909{col 73}{space 3}  1.03982
{txt}{space 13}zone2 {c |}{col 20}{res}{space 2}-1.788884{col 32}{space 2} .2879929{col 43}{space 1}   -6.21{col 52}{space 3}0.000{col 60}{space 4}-2.353339{col 73}{space 3}-1.224428
{txt}{space 13}zone3 {c |}{col 20}{res}{space 2}-.8489803{col 32}{space 2} .3785076{col 43}{space 1}   -2.24{col 52}{space 3}0.025{col 60}{space 4}-1.590842{col 73}{space 3} -.107119
{txt}{space 13}zone4 {c |}{col 20}{res}{space 2}-.1746696{col 32}{space 2}  .310702{col 43}{space 1}   -0.56{col 52}{space 3}0.574{col 60}{space 4}-.7836343{col 73}{space 3}  .434295
{txt}{space 13}zone5 {c |}{col 20}{res}{space 2}-1.513163{col 32}{space 2} .6806841{col 43}{space 1}   -2.22{col 52}{space 3}0.026{col 60}{space 4}-2.847279{col 73}{space 3}-.1790463
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}-11.07152{col 32}{space 2} 3.363877{col 43}{space 1}   -3.29{col 52}{space 3}0.001{col 60}{space 4}-17.66459{col 73}{space 3}-4.478441
{txt}{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/lnalpha {c |}{col 20}{res}{space 2} 2.008028{col 32}{space 2} .8372181{col 60}{space 4} .3671107{col 73}{space 3} 3.648945
{txt}{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
             alpha {c |}{col 20}{res}{space 2} 7.448615{col 32}{space 2} 6.236115{col 60}{space 4} 1.443558{col 73}{space 3} 38.43411
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
.         *Model 4
.         reg lnrepression hostcitytime_long hostcitytime2_long hostcitytime3_long hostcity time_long time2_long time3_long, cluster(id)

{txt}Linear regression                               Number of obs     = {res}    87,371
                                                {txt}F(7, 496)         =  {res}    55.84
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0446
                                                {txt}Root MSE          =    {res} .05263

{txt}{ralign 84:(Std. Err. adjusted for {res:497} clusters in id)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}      lnrepression{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}hostcitytime_long {c |}{col 20}{res}{space 2}-.3772799{col 32}{space 2} .1734266{col 43}{space 1}   -2.18{col 52}{space 3}0.030{col 60}{space 4}-.7180212{col 73}{space 3}-.0365386
{txt}hostcitytime2_long {c |}{col 20}{res}{space 2} .5958284{col 32}{space 2} .2721619{col 43}{space 1}    2.19{col 52}{space 3}0.029{col 60}{space 4}  .061096{col 73}{space 3} 1.130561
{txt}hostcitytime3_long {c |}{col 20}{res}{space 2}-.2392904{col 32}{space 2} .1080287{col 43}{space 1}   -2.22{col 52}{space 3}0.027{col 60}{space 4}-.4515407{col 73}{space 3}-.0270401
{txt}{space 10}hostcity {c |}{col 20}{res}{space 2} .1539846{col 32}{space 2} .0856805{col 43}{space 1}    1.80{col 52}{space 3}0.073{col 60}{space 4}-.0143568{col 73}{space 3}  .322326
{txt}{space 9}time_long {c |}{col 20}{res}{space 2} .0007653{col 32}{space 2}  .002633{col 43}{space 1}    0.29{col 52}{space 3}0.771{col 60}{space 4}-.0044078{col 73}{space 3} .0059384
{txt}{space 8}time2_long {c |}{col 20}{res}{space 2}-.0015455{col 32}{space 2} .0032191{col 43}{space 1}   -0.48{col 52}{space 3}0.631{col 60}{space 4}-.0078703{col 73}{space 3} .0047794
{txt}{space 8}time3_long {c |}{col 20}{res}{space 2} .0006168{col 32}{space 2} .0011841{col 43}{space 1}    0.52{col 52}{space 3}0.603{col 60}{space 4}-.0017095{col 73}{space 3} .0029432
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} .0019343{col 32}{space 2} .0007349{col 43}{space 1}    2.63{col 52}{space 3}0.009{col 60}{space 4} .0004904{col 73}{space 3} .0033781
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         *Model 5
.         reg lnrepression hostcitytime_long hostcitytime2_long hostcitytime3_long hostcity time_long time2_long time3_long lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77, cluster(id)

{txt}Linear regression                               Number of obs     = {res}    84,832
                                                {txt}F(12, 481)        =  {res}    26.29
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0569
                                                {txt}Root MSE          =    {res} .05302

{txt}{ralign 84:(Std. Err. adjusted for {res:482} clusters in id)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}      lnrepression{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}hostcitytime_long {c |}{col 20}{res}{space 2}-.3774356{col 32}{space 2} .1734385{col 43}{space 1}   -2.18{col 52}{space 3}0.030{col 60}{space 4}-.7182263{col 73}{space 3} -.036645
{txt}hostcitytime2_long {c |}{col 20}{res}{space 2} .5960863{col 32}{space 2} .2721799{col 43}{space 1}    2.19{col 52}{space 3}0.029{col 60}{space 4} .0612779{col 73}{space 3} 1.130895
{txt}hostcitytime3_long {c |}{col 20}{res}{space 2}-.2393904{col 32}{space 2} .1080358{col 43}{space 1}   -2.22{col 52}{space 3}0.027{col 60}{space 4}-.4516708{col 73}{space 3}  -.02711
{txt}{space 10}hostcity {c |}{col 20}{res}{space 2} .1301243{col 32}{space 2} .0805682{col 43}{space 1}    1.62{col 52}{space 3}0.107{col 60}{space 4}-.0281849{col 73}{space 3} .2884335
{txt}{space 9}time_long {c |}{col 20}{res}{space 2}  .000921{col 32}{space 2} .0027072{col 43}{space 1}    0.34{col 52}{space 3}0.734{col 60}{space 4}-.0043984{col 73}{space 3} .0062404
{txt}{space 8}time2_long {c |}{col 20}{res}{space 2}-.0018034{col 32}{space 2} .0033078{col 43}{space 1}   -0.55{col 52}{space 3}0.586{col 60}{space 4}-.0083029{col 73}{space 3} .0046961
{txt}{space 8}time3_long {c |}{col 20}{res}{space 2} .0007169{col 32}{space 2} .0012169{col 43}{space 1}    0.59{col 52}{space 3}0.556{col 60}{space 4}-.0016742{col 73}{space 3} .0031079
{txt}{space 8}lnpop_1970 {c |}{col 20}{res}{space 2} .0009525{col 32}{space 2}  .000619{col 43}{space 1}    1.54{col 52}{space 3}0.125{col 60}{space 4}-.0002638{col 73}{space 3} .0021688
{txt}{space 6}vote_frejuli {c |}{col 20}{res}{space 2}-.0000508{col 32}{space 2} .0000626{col 43}{space 1}   -0.81{col 52}{space 3}0.417{col 60}{space 4}-.0001737{col 73}{space 3} .0000721
{txt}{space 6}literacy_avg {c |}{col 20}{res}{space 2}-.0064346{col 32}{space 2} .0032243{col 43}{space 1}   -2.00{col 52}{space 3}0.047{col 60}{space 4}-.0127701{col 73}{space 3}-.0000991
{txt}{space 6}lnrebact1974 {c |}{col 20}{res}{space 2}-.0000719{col 32}{space 2} .0004493{col 43}{space 1}   -0.16{col 52}{space 3}0.873{col 60}{space 4}-.0009548{col 73}{space 3}  .000811
{txt}{space 1}lnrepression70_77 {c |}{col 20}{res}{space 2} .0040715{col 32}{space 2} .0008815{col 43}{space 1}    4.62{col 52}{space 3}0.000{col 60}{space 4} .0023394{col 73}{space 3} .0058035
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}-.0029694{col 32}{space 2} .0049422{col 43}{space 1}   -0.60{col 52}{space 3}0.548{col 60}{space 4}-.0126803{col 73}{space 3} .0067416
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 
.         *Model 6
.         reg lnrepression hostcitytime_long hostcitytime2_long hostcitytime3_long hostcity time_long time2_long time3_long lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77 zone2-zone5, cluster(id)                  

{txt}Linear regression                               Number of obs     = {res}    84,832
                                                {txt}F(16, 481)        =  {res}    52.56
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0614
                                                {txt}Root MSE          =    {res} .05289

{txt}{ralign 84:(Std. Err. adjusted for {res:482} clusters in id)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}      lnrepression{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}hostcitytime_long {c |}{col 20}{res}{space 2}-.3774356{col 32}{space 2} .1734426{col 43}{space 1}   -2.18{col 52}{space 3}0.030{col 60}{space 4}-.7182343{col 73}{space 3}-.0366369
{txt}hostcitytime2_long {c |}{col 20}{res}{space 2} .5960863{col 32}{space 2} .2721863{col 43}{space 1}    2.19{col 52}{space 3}0.029{col 60}{space 4} .0612652{col 73}{space 3} 1.130907
{txt}hostcitytime3_long {c |}{col 20}{res}{space 2}-.2393904{col 32}{space 2} .1080383{col 43}{space 1}   -2.22{col 52}{space 3}0.027{col 60}{space 4}-.4516758{col 73}{space 3} -.027105
{txt}{space 10}hostcity {c |}{col 20}{res}{space 2} .1304823{col 32}{space 2} .0784035{col 43}{space 1}    1.66{col 52}{space 3}0.097{col 60}{space 4}-.0235734{col 73}{space 3}  .284538
{txt}{space 9}time_long {c |}{col 20}{res}{space 2}  .000921{col 32}{space 2} .0027073{col 43}{space 1}    0.34{col 52}{space 3}0.734{col 60}{space 4}-.0043986{col 73}{space 3} .0062405
{txt}{space 8}time2_long {c |}{col 20}{res}{space 2}-.0018034{col 32}{space 2} .0033079{col 43}{space 1}   -0.55{col 52}{space 3}0.586{col 60}{space 4}-.0083031{col 73}{space 3} .0046962
{txt}{space 8}time3_long {c |}{col 20}{res}{space 2} .0007169{col 32}{space 2} .0012169{col 43}{space 1}    0.59{col 52}{space 3}0.556{col 60}{space 4}-.0016742{col 73}{space 3}  .003108
{txt}{space 8}lnpop_1970 {c |}{col 20}{res}{space 2} .0032758{col 32}{space 2}  .001579{col 43}{space 1}    2.07{col 52}{space 3}0.039{col 60}{space 4} .0001732{col 73}{space 3} .0063785
{txt}{space 6}vote_frejuli {c |}{col 20}{res}{space 2}-.0000105{col 32}{space 2} .0000734{col 43}{space 1}   -0.14{col 52}{space 3}0.887{col 60}{space 4}-.0001548{col 73}{space 3} .0001338
{txt}{space 6}literacy_avg {c |}{col 20}{res}{space 2}-.0240893{col 32}{space 2} .0106339{col 43}{space 1}   -2.27{col 52}{space 3}0.024{col 60}{space 4}-.0449839{col 73}{space 3}-.0031948
{txt}{space 6}lnrebact1974 {c |}{col 20}{res}{space 2}-.0013878{col 32}{space 2}  .000957{col 43}{space 1}   -1.45{col 52}{space 3}0.148{col 60}{space 4}-.0032683{col 73}{space 3} .0004926
{txt}{space 1}lnrepression70_77 {c |}{col 20}{res}{space 2}  .003011{col 32}{space 2} .0007519{col 43}{space 1}    4.00{col 52}{space 3}0.000{col 60}{space 4} .0015337{col 73}{space 3} .0044884
{txt}{space 13}zone2 {c |}{col 20}{res}{space 2}-.0147797{col 32}{space 2} .0068043{col 43}{space 1}   -2.17{col 52}{space 3}0.030{col 60}{space 4}-.0281496{col 73}{space 3}-.0014098
{txt}{space 13}zone3 {c |}{col 20}{res}{space 2}-.0117147{col 32}{space 2} .0052773{col 43}{space 1}   -2.22{col 52}{space 3}0.027{col 60}{space 4}-.0220841{col 73}{space 3}-.0013454
{txt}{space 13}zone4 {c |}{col 20}{res}{space 2}-.0045324{col 32}{space 2} .0065292{col 43}{space 1}   -0.69{col 52}{space 3}0.488{col 60}{space 4}-.0173617{col 73}{space 3}  .008297
{txt}{space 13}zone5 {c |}{col 20}{res}{space 2}-.0095521{col 32}{space 2} .0044877{col 43}{space 1}   -2.13{col 52}{space 3}0.034{col 60}{space 4}  -.01837{col 73}{space 3}-.0007341
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}-.0026868{col 32}{space 2} .0067291{col 43}{space 1}   -0.40{col 52}{space 3}0.690{col 60}{space 4}-.0159089{col 73}{space 3} .0105353
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
.         
.         
.         ****************************************************************************
.         *Table SI.4.10: Linear regressions (OLS) with different fixed effects specifications
.         ****************************************************************************            
.         
.         *Model 1 
.         reg lnrepression hostcitytime hostcitytime2 hostcity time time2 prov2-prov24, robust

{txt}Linear regression                               Number of obs     = {res}    58,107
                                                {txt}F(28, 58078)      =  {res}     7.46
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1283
                                                {txt}Root MSE          =    {res}  .0493

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1} lnrepression{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}hostcitytime {c |}{col 15}{res}{space 2} .4012632{col 27}{space 2} .1234972{col 38}{space 1}    3.25{col 47}{space 3}0.001{col 55}{space 4} .1592081{col 68}{space 3} .6433184
{txt}hostcitytime2 {c |}{col 15}{res}{space 2}-.3229693{col 27}{space 2} .0978042{col 38}{space 1}   -3.30{col 47}{space 3}0.001{col 55}{space 4} -.514666{col 68}{space 3}-.1312726
{txt}{space 5}hostcity {c |}{col 15}{res}{space 2}-.0546586{col 27}{space 2} .0298997{col 38}{space 1}   -1.83{col 47}{space 3}0.068{col 55}{space 4}-.1132622{col 68}{space 3}  .003945
{txt}{space 9}time {c |}{col 15}{res}{space 2}-.0028648{col 27}{space 2} .0022998{col 38}{space 1}   -1.25{col 47}{space 3}0.213{col 55}{space 4}-.0073724{col 68}{space 3} .0016428
{txt}{space 8}time2 {c |}{col 15}{res}{space 2} .0020323{col 27}{space 2} .0017814{col 38}{space 1}    1.14{col 47}{space 3}0.254{col 55}{space 4}-.0014593{col 68}{space 3} .0055239
{txt}{space 8}prov2 {c |}{col 15}{res}{space 2} .3694364{col 27}{space 2} .0487233{col 38}{space 1}    7.58{col 47}{space 3}0.000{col 55}{space 4} .2739386{col 68}{space 3} .4649342
{txt}{space 8}prov3 {c |}{col 15}{res}{space 2}-.0058832{col 27}{space 2} .0006229{col 38}{space 1}   -9.45{col 47}{space 3}0.000{col 55}{space 4} -.007104{col 68}{space 3}-.0046624
{txt}{space 8}prov4 {c |}{col 15}{res}{space 2}-.0058832{col 27}{space 2} .0006228{col 38}{space 1}   -9.45{col 47}{space 3}0.000{col 55}{space 4} -.007104{col 68}{space 3}-.0046624
{txt}{space 8}prov5 {c |}{col 15}{res}{space 2}-.0058832{col 27}{space 2} .0006229{col 38}{space 1}   -9.45{col 47}{space 3}0.000{col 55}{space 4} -.007104{col 68}{space 3}-.0046624
{txt}{space 8}prov6 {c |}{col 15}{res}{space 2}-.0051894{col 27}{space 2} .0009024{col 38}{space 1}   -5.75{col 47}{space 3}0.000{col 55}{space 4} -.006958{col 68}{space 3}-.0034208
{txt}{space 8}prov7 {c |}{col 15}{res}{space 2}-.0058832{col 27}{space 2} .0006228{col 38}{space 1}   -9.45{col 47}{space 3}0.000{col 55}{space 4} -.007104{col 68}{space 3}-.0046624
{txt}{space 8}prov8 {c |}{col 15}{res}{space 2}-.0058832{col 27}{space 2} .0006229{col 38}{space 1}   -9.45{col 47}{space 3}0.000{col 55}{space 4} -.007104{col 68}{space 3}-.0046624
{txt}{space 8}prov9 {c |}{col 15}{res}{space 2}-.0058832{col 27}{space 2} .0006229{col 38}{space 1}   -9.45{col 47}{space 3}0.000{col 55}{space 4} -.007104{col 68}{space 3}-.0046623
{txt}{space 7}prov10 {c |}{col 15}{res}{space 2}-.0055129{col 27}{space 2} .0007244{col 38}{space 1}   -7.61{col 47}{space 3}0.000{col 55}{space 4}-.0069328{col 68}{space 3} -.004093
{txt}{space 7}prov11 {c |}{col 15}{res}{space 2}-.0058832{col 27}{space 2} .0006228{col 38}{space 1}   -9.45{col 47}{space 3}0.000{col 55}{space 4} -.007104{col 68}{space 3}-.0046624
{txt}{space 7}prov12 {c |}{col 15}{res}{space 2}-.0058832{col 27}{space 2} .0006228{col 38}{space 1}   -9.45{col 47}{space 3}0.000{col 55}{space 4} -.007104{col 68}{space 3}-.0046624
{txt}{space 7}prov13 {c |}{col 15}{res}{space 2}-.0041668{col 27}{space 2} .0014033{col 38}{space 1}   -2.97{col 47}{space 3}0.003{col 55}{space 4}-.0069173{col 68}{space 3}-.0014164
{txt}{space 7}prov14 {c |}{col 15}{res}{space 2}-.0051862{col 27}{space 2}  .000794{col 38}{space 1}   -6.53{col 47}{space 3}0.000{col 55}{space 4}-.0067425{col 68}{space 3}-.0036299
{txt}{space 7}prov15 {c |}{col 15}{res}{space 2}-.0058832{col 27}{space 2} .0006229{col 38}{space 1}   -9.45{col 47}{space 3}0.000{col 55}{space 4} -.007104{col 68}{space 3}-.0046624
{txt}{space 7}prov16 {c |}{col 15}{res}{space 2}-.0040603{col 27}{space 2} .0011032{col 38}{space 1}   -3.68{col 47}{space 3}0.000{col 55}{space 4}-.0062226{col 68}{space 3} -.001898
{txt}{space 7}prov17 {c |}{col 15}{res}{space 2} -.005368{col 27}{space 2} .0007215{col 38}{space 1}   -7.44{col 47}{space 3}0.000{col 55}{space 4}-.0067821{col 68}{space 3}-.0039539
{txt}{space 7}prov18 {c |}{col 15}{res}{space 2}-.0052596{col 27}{space 2} .0007629{col 38}{space 1}   -6.89{col 47}{space 3}0.000{col 55}{space 4}-.0067549{col 68}{space 3}-.0037642
{txt}{space 7}prov19 {c |}{col 15}{res}{space 2}-.0058832{col 27}{space 2} .0006229{col 38}{space 1}   -9.45{col 47}{space 3}0.000{col 55}{space 4} -.007104{col 68}{space 3}-.0046623
{txt}{space 7}prov20 {c |}{col 15}{res}{space 2}-.0058832{col 27}{space 2} .0006229{col 38}{space 1}   -9.44{col 47}{space 3}0.000{col 55}{space 4} -.007104{col 68}{space 3}-.0046623
{txt}{space 7}prov21 {c |}{col 15}{res}{space 2} -.006181{col 27}{space 2} .0009523{col 38}{space 1}   -6.49{col 47}{space 3}0.000{col 55}{space 4}-.0080475{col 68}{space 3}-.0043145
{txt}{space 7}prov22 {c |}{col 15}{res}{space 2}-.0058832{col 27}{space 2} .0006228{col 38}{space 1}   -9.45{col 47}{space 3}0.000{col 55}{space 4}-.0071039{col 68}{space 3}-.0046624
{txt}{space 7}prov23 {c |}{col 15}{res}{space 2}-.0058832{col 27}{space 2} .0006231{col 38}{space 1}   -9.44{col 47}{space 3}0.000{col 55}{space 4}-.0071044{col 68}{space 3} -.004662
{txt}{space 7}prov24 {c |}{col 15}{res}{space 2}-.0010692{col 27}{space 2} .0017391{col 38}{space 1}   -0.61{col 47}{space 3}0.539{col 55}{space 4}-.0044779{col 68}{space 3} .0023394
{txt}{space 8}_cons {c |}{col 15}{res}{space 2} .0066342{col 27}{space 2} .0008875{col 38}{space 1}    7.47{col 47}{space 3}0.000{col 55}{space 4} .0048946{col 68}{space 3} .0083737
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         *Model 2 
.         reg lnrepression hostcitytime hostcitytime2 hostcity time time2 lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77 prov2-prov24, robust
{txt}note: prov23 omitted because of collinearity

Linear regression                               Number of obs     = {res}    56,394
                                                {txt}F(32, 56361)      =  {res}     6.58
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1368
                                                {txt}Root MSE          =    {res} .04972

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}     lnrepression{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}hostcitytime {c |}{col 19}{res}{space 2} .4014449{col 31}{space 2} .1234778{col 42}{space 1}    3.25{col 51}{space 3}0.001{col 59}{space 4} .1594277{col 72}{space 3} .6434621
{txt}{space 4}hostcitytime2 {c |}{col 19}{res}{space 2}-.3231063{col 31}{space 2} .0977763{col 42}{space 1}   -3.30{col 51}{space 3}0.001{col 59}{space 4}-.5147484{col 72}{space 3}-.1314643
{txt}{space 9}hostcity {c |}{col 19}{res}{space 2}-.0702919{col 31}{space 2} .0299736{col 42}{space 1}   -2.35{col 51}{space 3}0.019{col 59}{space 4}-.1290403{col 72}{space 3}-.0115435
{txt}{space 13}time {c |}{col 19}{res}{space 2}-.0030465{col 31}{space 2} .0023477{col 42}{space 1}   -1.30{col 51}{space 3}0.194{col 59}{space 4} -.007648{col 72}{space 3} .0015551
{txt}{space 12}time2 {c |}{col 19}{res}{space 2} .0021693{col 31}{space 2} .0018203{col 42}{space 1}    1.19{col 51}{space 3}0.233{col 59}{space 4}-.0013985{col 72}{space 3} .0057371
{txt}{space 7}lnpop_1970 {c |}{col 19}{res}{space 2} .0015006{col 31}{space 2} .0002998{col 42}{space 1}    5.00{col 51}{space 3}0.000{col 59}{space 4} .0009129{col 72}{space 3} .0020882
{txt}{space 5}vote_frejuli {c |}{col 19}{res}{space 2} .0000894{col 31}{space 2} .0000291{col 42}{space 1}    3.07{col 51}{space 3}0.002{col 59}{space 4} .0000324{col 72}{space 3} .0001464
{txt}{space 5}literacy_avg {c |}{col 19}{res}{space 2}-.0161075{col 31}{space 2}  .002706{col 42}{space 1}   -5.95{col 51}{space 3}0.000{col 59}{space 4}-.0214113{col 72}{space 3}-.0108038
{txt}{space 5}lnrebact1974 {c |}{col 19}{res}{space 2}-.0001968{col 31}{space 2} .0000768{col 42}{space 1}   -2.56{col 51}{space 3}0.010{col 59}{space 4}-.0003473{col 72}{space 3}-.0000464
{txt}lnrepression70_77 {c |}{col 19}{res}{space 2} .0030953{col 31}{space 2} .0003409{col 42}{space 1}    9.08{col 51}{space 3}0.000{col 59}{space 4}  .002427{col 72}{space 3} .0037635
{txt}{space 12}prov2 {c |}{col 19}{res}{space 2} .3609208{col 31}{space 2} .0487471{col 42}{space 1}    7.40{col 51}{space 3}0.000{col 59}{space 4} .2653763{col 72}{space 3} .4564654
{txt}{space 12}prov3 {c |}{col 19}{res}{space 2}-.0044834{col 31}{space 2} .0007705{col 42}{space 1}   -5.82{col 51}{space 3}0.000{col 59}{space 4}-.0059935{col 72}{space 3}-.0029732
{txt}{space 12}prov4 {c |}{col 19}{res}{space 2}-.0065507{col 31}{space 2}   .00095{col 42}{space 1}   -6.90{col 51}{space 3}0.000{col 59}{space 4}-.0084128{col 72}{space 3}-.0046887
{txt}{space 12}prov5 {c |}{col 19}{res}{space 2} -.004455{col 31}{space 2} .0006026{col 42}{space 1}   -7.39{col 51}{space 3}0.000{col 59}{space 4}-.0056361{col 72}{space 3} -.003274
{txt}{space 12}prov6 {c |}{col 19}{res}{space 2}-.0049714{col 31}{space 2}  .000942{col 42}{space 1}   -5.28{col 51}{space 3}0.000{col 59}{space 4}-.0068177{col 72}{space 3}-.0031252
{txt}{space 12}prov7 {c |}{col 19}{res}{space 2}-.0061693{col 31}{space 2} .0008353{col 42}{space 1}   -7.39{col 51}{space 3}0.000{col 59}{space 4}-.0078066{col 72}{space 3} -.004532
{txt}{space 12}prov8 {c |}{col 19}{res}{space 2}-.0061585{col 31}{space 2} .0008436{col 42}{space 1}   -7.30{col 51}{space 3}0.000{col 59}{space 4} -.007812{col 72}{space 3} -.004505
{txt}{space 12}prov9 {c |}{col 19}{res}{space 2}-.0090179{col 31}{space 2} .0012008{col 42}{space 1}   -7.51{col 51}{space 3}0.000{col 59}{space 4}-.0113714{col 72}{space 3}-.0066643
{txt}{space 11}prov10 {c |}{col 19}{res}{space 2}-.0073511{col 31}{space 2} .0012534{col 42}{space 1}   -5.86{col 51}{space 3}0.000{col 59}{space 4}-.0098079{col 72}{space 3}-.0048944
{txt}{space 11}prov11 {c |}{col 19}{res}{space 2} .0001239{col 31}{space 2} .0002093{col 42}{space 1}    0.59{col 51}{space 3}0.554{col 59}{space 4}-.0002864{col 72}{space 3} .0005342
{txt}{space 11}prov12 {c |}{col 19}{res}{space 2}-.0034925{col 31}{space 2} .0006193{col 42}{space 1}   -5.64{col 51}{space 3}0.000{col 59}{space 4}-.0047063{col 72}{space 3}-.0022787
{txt}{space 11}prov13 {c |}{col 19}{res}{space 2}-.0056137{col 31}{space 2}  .001594{col 42}{space 1}   -3.52{col 51}{space 3}0.000{col 59}{space 4}-.0087379{col 72}{space 3}-.0024895
{txt}{space 11}prov14 {c |}{col 19}{res}{space 2}-.0069303{col 31}{space 2} .0012016{col 42}{space 1}   -5.77{col 51}{space 3}0.000{col 59}{space 4}-.0092855{col 72}{space 3}-.0045752
{txt}{space 11}prov15 {c |}{col 19}{res}{space 2}-.0057957{col 31}{space 2} .0009166{col 42}{space 1}   -6.32{col 51}{space 3}0.000{col 59}{space 4}-.0075922{col 72}{space 3}-.0039992
{txt}{space 11}prov16 {c |}{col 19}{res}{space 2}-.0031572{col 31}{space 2} .0011558{col 42}{space 1}   -2.73{col 51}{space 3}0.006{col 59}{space 4}-.0054225{col 72}{space 3}-.0008919
{txt}{space 11}prov17 {c |}{col 19}{res}{space 2}-.0076462{col 31}{space 2} .0012064{col 42}{space 1}   -6.34{col 51}{space 3}0.000{col 59}{space 4}-.0100108{col 72}{space 3}-.0052816
{txt}{space 11}prov18 {c |}{col 19}{res}{space 2}-.0040989{col 31}{space 2} .0008894{col 42}{space 1}   -4.61{col 51}{space 3}0.000{col 59}{space 4}-.0058423{col 72}{space 3}-.0023556
{txt}{space 11}prov19 {c |}{col 19}{res}{space 2}-.0049218{col 31}{space 2} .0006769{col 42}{space 1}   -7.27{col 51}{space 3}0.000{col 59}{space 4}-.0062484{col 72}{space 3}-.0035951
{txt}{space 11}prov20 {c |}{col 19}{res}{space 2}-.0008356{col 31}{space 2} .0001806{col 42}{space 1}   -4.63{col 51}{space 3}0.000{col 59}{space 4}-.0011897{col 72}{space 3}-.0004816
{txt}{space 11}prov21 {c |}{col 19}{res}{space 2}-.0072956{col 31}{space 2} .0011033{col 42}{space 1}   -6.61{col 51}{space 3}0.000{col 59}{space 4} -.009458{col 72}{space 3}-.0051331
{txt}{space 11}prov22 {c |}{col 19}{res}{space 2} -.006602{col 31}{space 2} .0011724{col 42}{space 1}   -5.63{col 51}{space 3}0.000{col 59}{space 4}   -.0089{col 72}{space 3}-.0043041
{txt}{space 11}prov23 {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 11}prov24 {c |}{col 19}{res}{space 2} -.008598{col 31}{space 2}  .002835{col 42}{space 1}   -3.03{col 51}{space 3}0.002{col 59}{space 4}-.0141547{col 72}{space 3}-.0030413
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-.0037172{col 31}{space 2} .0026964{col 42}{space 1}   -1.38{col 51}{space 3}0.168{col 59}{space 4}-.0090021{col 72}{space 3} .0015677
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                         
.         *Model 3 
.         reg lnrepression hostcitytime hostcitytime2 hostcity time time2 subzone2-subzone18, robust

{txt}Linear regression                               Number of obs     = {res}    58,107
                                                {txt}F(22, 58084)      =  {res}     9.56
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1334
                                                {txt}Root MSE          =    {res} .04915

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1} lnrepression{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}hostcitytime {c |}{col 15}{res}{space 2} .4012434{col 27}{space 2} .1235008{col 38}{space 1}    3.25{col 47}{space 3}0.001{col 55}{space 4} .1591812{col 68}{space 3} .6433056
{txt}hostcitytime2 {c |}{col 15}{res}{space 2}-.3229594{col 27}{space 2} .0978035{col 38}{space 1}   -3.30{col 47}{space 3}0.001{col 55}{space 4}-.5146548{col 68}{space 3}-.1312641
{txt}{space 5}hostcity {c |}{col 15}{res}{space 2}-.0534555{col 27}{space 2} .0298066{col 38}{space 1}   -1.79{col 47}{space 3}0.073{col 55}{space 4}-.1118765{col 68}{space 3} .0049656
{txt}{space 9}time {c |}{col 15}{res}{space 2} -.002845{col 27}{space 2} .0022888{col 38}{space 1}   -1.24{col 47}{space 3}0.214{col 55}{space 4} -.007331{col 68}{space 3} .0016411
{txt}{space 8}time2 {c |}{col 15}{res}{space 2} .0020224{col 27}{space 2} .0017722{col 38}{space 1}    1.14{col 47}{space 3}0.254{col 55}{space 4}-.0014512{col 68}{space 3}  .005496
{txt}{space 5}subzone2 {c |}{col 15}{res}{space 2} .0051163{col 27}{space 2} .0037261{col 38}{space 1}    1.37{col 47}{space 3}0.170{col 55}{space 4}-.0021869{col 68}{space 3} .0124195
{txt}{space 5}subzone3 {c |}{col 15}{res}{space 2}-.0126972{col 27}{space 2}  .002917{col 38}{space 1}   -4.35{col 47}{space 3}0.000{col 55}{space 4}-.0184146{col 68}{space 3}-.0069799
{txt}{space 5}subzone4 {c |}{col 15}{res}{space 2}-.0124495{col 27}{space 2} .0029272{col 38}{space 1}   -4.25{col 47}{space 3}0.000{col 55}{space 4}-.0181869{col 68}{space 3}-.0067121
{txt}{space 5}subzone5 {c |}{col 15}{res}{space 2}-.0128883{col 27}{space 2} .0029107{col 38}{space 1}   -4.43{col 47}{space 3}0.000{col 55}{space 4}-.0185934{col 68}{space 3}-.0071833
{txt}{space 5}subzone6 {c |}{col 15}{res}{space 2}-.0104129{col 27}{space 2} .0034872{col 38}{space 1}   -2.99{col 47}{space 3}0.003{col 55}{space 4}-.0172478{col 68}{space 3}-.0035779
{txt}{space 5}subzone7 {c |}{col 15}{res}{space 2} .0063754{col 27}{space 2}  .007504{col 38}{space 1}    0.85{col 47}{space 3}0.396{col 55}{space 4}-.0083325{col 68}{space 3} .0210834
{txt}{space 5}subzone8 {c |}{col 15}{res}{space 2}-.0132491{col 27}{space 2} .0029846{col 38}{space 1}   -4.44{col 47}{space 3}0.000{col 55}{space 4}-.0190988{col 68}{space 3}-.0073993
{txt}{space 5}subzone9 {c |}{col 15}{res}{space 2}-.0128883{col 27}{space 2} .0029107{col 38}{space 1}   -4.43{col 47}{space 3}0.000{col 55}{space 4}-.0185934{col 68}{space 3}-.0071832
{txt}{space 4}subzone10 {c |}{col 15}{res}{space 2}-.0126875{col 27}{space 2} .0029142{col 38}{space 1}   -4.35{col 47}{space 3}0.000{col 55}{space 4}-.0183993{col 68}{space 3}-.0069757
{txt}{space 4}subzone11 {c |}{col 15}{res}{space 2}-.0128883{col 27}{space 2} .0029107{col 38}{space 1}   -4.43{col 47}{space 3}0.000{col 55}{space 4}-.0185934{col 68}{space 3}-.0071832
{txt}{space 4}subzone12 {c |}{col 15}{res}{space 2}-.0126947{col 27}{space 2}  .002916{col 38}{space 1}   -4.35{col 47}{space 3}0.000{col 55}{space 4}-.0184101{col 68}{space 3}-.0069793
{txt}{space 4}subzone13 {c |}{col 15}{res}{space 2}-.0111096{col 27}{space 2}  .002958{col 38}{space 1}   -3.76{col 47}{space 3}0.000{col 55}{space 4}-.0169072{col 68}{space 3}-.0053119
{txt}{space 4}subzone14 {c |}{col 15}{res}{space 2}-.0119851{col 27}{space 2} .0029552{col 38}{space 1}   -4.06{col 47}{space 3}0.000{col 55}{space 4}-.0177774{col 68}{space 3}-.0061928
{txt}{space 4}subzone15 {c |}{col 15}{res}{space 2} -.012619{col 27}{space 2} .0029232{col 38}{space 1}   -4.32{col 47}{space 3}0.000{col 55}{space 4}-.0183485{col 68}{space 3}-.0068896
{txt}{space 4}subzone16 {c |}{col 15}{res}{space 2} -.012042{col 27}{space 2} .0029515{col 38}{space 1}   -4.08{col 47}{space 3}0.000{col 55}{space 4}-.0178268{col 68}{space 3}-.0062571
{txt}{space 4}subzone17 {c |}{col 15}{res}{space 2}-.0128883{col 27}{space 2} .0029107{col 38}{space 1}   -4.43{col 47}{space 3}0.000{col 55}{space 4}-.0185934{col 68}{space 3}-.0071833
{txt}{space 4}subzone18 {c |}{col 15}{res}{space 2} .3612352{col 27}{space 2} .0487674{col 38}{space 1}    7.41{col 47}{space 3}0.000{col 55}{space 4} .2656509{col 68}{space 3} .4568195
{txt}{space 8}_cons {c |}{col 15}{res}{space 2} .0136322{col 27}{space 2} .0029959{col 38}{space 1}    4.55{col 47}{space 3}0.000{col 55}{space 4} .0077603{col 68}{space 3} .0195041
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         *Model 4 
.         reg lnrepression hostcitytime hostcitytime2 hostcity time time2 lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77 subzone2-subzone18, robust

{txt}Linear regression                               Number of obs     = {res}    56,394
                                                {txt}F(27, 56366)      =  {res}     7.80
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1379
                                                {txt}Root MSE          =    {res} .04969

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}     lnrepression{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}hostcitytime {c |}{col 19}{res}{space 2} .4014449{col 31}{space 2} .1234803{col 42}{space 1}    3.25{col 51}{space 3}0.001{col 59}{space 4} .1594228{col 72}{space 3}  .643467
{txt}{space 4}hostcitytime2 {c |}{col 19}{res}{space 2}-.3231063{col 31}{space 2} .0977796{col 42}{space 1}   -3.30{col 51}{space 3}0.001{col 59}{space 4} -.514755{col 72}{space 3}-.1314576
{txt}{space 9}hostcity {c |}{col 19}{res}{space 2}-.0678142{col 31}{space 2} .0298492{col 42}{space 1}   -2.27{col 51}{space 3}0.023{col 59}{space 4}-.1263189{col 72}{space 3}-.0093096
{txt}{space 13}time {c |}{col 19}{res}{space 2}-.0030465{col 31}{space 2} .0023465{col 42}{space 1}   -1.30{col 51}{space 3}0.194{col 59}{space 4}-.0076456{col 72}{space 3} .0015526
{txt}{space 12}time2 {c |}{col 19}{res}{space 2} .0021693{col 31}{space 2}  .001819{col 42}{space 1}    1.19{col 51}{space 3}0.233{col 59}{space 4} -.001396{col 72}{space 3} .0057346
{txt}{space 7}lnpop_1970 {c |}{col 19}{res}{space 2} .0014561{col 31}{space 2}   .00031{col 42}{space 1}    4.70{col 51}{space 3}0.000{col 59}{space 4} .0008485{col 72}{space 3} .0020636
{txt}{space 5}vote_frejuli {c |}{col 19}{res}{space 2} .0000525{col 31}{space 2} .0000239{col 42}{space 1}    2.19{col 51}{space 3}0.028{col 59}{space 4} 5.62e-06{col 72}{space 3} .0000994
{txt}{space 5}literacy_avg {c |}{col 19}{res}{space 2}-.0107388{col 31}{space 2}   .00216{col 42}{space 1}   -4.97{col 51}{space 3}0.000{col 59}{space 4}-.0149724{col 72}{space 3}-.0065053
{txt}{space 5}lnrebact1974 {c |}{col 19}{res}{space 2}-.0003313{col 31}{space 2} .0002154{col 42}{space 1}   -1.54{col 51}{space 3}0.124{col 59}{space 4}-.0007534{col 72}{space 3} .0000908
{txt}lnrepression70_77 {c |}{col 19}{res}{space 2} .0024345{col 31}{space 2} .0003555{col 42}{space 1}    6.85{col 51}{space 3}0.000{col 59}{space 4} .0017377{col 72}{space 3} .0031314
{txt}{space 9}subzone2 {c |}{col 19}{res}{space 2} .0086484{col 31}{space 2} .0042067{col 42}{space 1}    2.06{col 51}{space 3}0.040{col 59}{space 4} .0004031{col 72}{space 3} .0168936
{txt}{space 9}subzone3 {c |}{col 19}{res}{space 2}-.0006027{col 31}{space 2} .0035299{col 42}{space 1}   -0.17{col 51}{space 3}0.864{col 59}{space 4}-.0075212{col 72}{space 3} .0063159
{txt}{space 9}subzone4 {c |}{col 19}{res}{space 2}-.0014547{col 31}{space 2} .0035102{col 42}{space 1}   -0.41{col 51}{space 3}0.679{col 59}{space 4}-.0083347{col 72}{space 3} .0054254
{txt}{space 9}subzone5 {c |}{col 19}{res}{space 2} .0000256{col 31}{space 2}  .003649{col 42}{space 1}    0.01{col 51}{space 3}0.994{col 59}{space 4}-.0071264{col 72}{space 3} .0071777
{txt}{space 9}subzone6 {c |}{col 19}{res}{space 2} .0004349{col 31}{space 2}  .004038{col 42}{space 1}    0.11{col 51}{space 3}0.914{col 59}{space 4}-.0074796{col 72}{space 3} .0083494
{txt}{space 9}subzone7 {c |}{col 19}{res}{space 2} .0037881{col 31}{space 2} .0076316{col 42}{space 1}    0.50{col 51}{space 3}0.620{col 59}{space 4}-.0111699{col 72}{space 3} .0187461
{txt}{space 9}subzone8 {c |}{col 19}{res}{space 2}-.0060664{col 31}{space 2} .0034986{col 42}{space 1}   -1.73{col 51}{space 3}0.083{col 59}{space 4}-.0129237{col 72}{space 3} .0007909
{txt}{space 9}subzone9 {c |}{col 19}{res}{space 2}-.0056238{col 31}{space 2} .0037011{col 42}{space 1}   -1.52{col 51}{space 3}0.129{col 59}{space 4}-.0128779{col 72}{space 3} .0016304
{txt}{space 8}subzone10 {c |}{col 19}{res}{space 2}-.0054932{col 31}{space 2} .0035526{col 42}{space 1}   -1.55{col 51}{space 3}0.122{col 59}{space 4}-.0124562{col 72}{space 3} .0014699
{txt}{space 8}subzone11 {c |}{col 19}{res}{space 2}-.0047614{col 31}{space 2} .0036039{col 42}{space 1}   -1.32{col 51}{space 3}0.186{col 59}{space 4}-.0118251{col 72}{space 3} .0023023
{txt}{space 8}subzone12 {c |}{col 19}{res}{space 2}-.0038492{col 31}{space 2} .0035248{col 42}{space 1}   -1.09{col 51}{space 3}0.275{col 59}{space 4}-.0107579{col 72}{space 3} .0030594
{txt}{space 8}subzone13 {c |}{col 19}{res}{space 2}-.0054517{col 31}{space 2} .0035977{col 42}{space 1}   -1.52{col 51}{space 3}0.130{col 59}{space 4}-.0125032{col 72}{space 3} .0015998
{txt}{space 8}subzone14 {c |}{col 19}{res}{space 2}-.0037567{col 31}{space 2} .0035634{col 42}{space 1}   -1.05{col 51}{space 3}0.292{col 59}{space 4} -.010741{col 72}{space 3} .0032276
{txt}{space 8}subzone15 {c |}{col 19}{res}{space 2} -.002632{col 31}{space 2} .0034929{col 42}{space 1}   -0.75{col 51}{space 3}0.451{col 59}{space 4}-.0094781{col 72}{space 3} .0042142
{txt}{space 8}subzone16 {c |}{col 19}{res}{space 2}-.0036575{col 31}{space 2} .0035646{col 42}{space 1}   -1.03{col 51}{space 3}0.305{col 59}{space 4}-.0106441{col 72}{space 3} .0033291
{txt}{space 8}subzone17 {c |}{col 19}{res}{space 2}-.0025335{col 31}{space 2} .0036041{col 42}{space 1}   -0.70{col 51}{space 3}0.482{col 59}{space 4}-.0095975{col 72}{space 3} .0045305
{txt}{space 8}subzone18 {c |}{col 19}{res}{space 2} .3629258{col 31}{space 2}  .048795{col 42}{space 1}    7.44{col 51}{space 3}0.000{col 59}{space 4} .2672872{col 72}{space 3} .4585644
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-.0054285{col 31}{space 2} .0042312{col 42}{space 1}   -1.28{col 51}{space 3}0.200{col 59}{space 4}-.0137216{col 72}{space 3} .0028646
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 
.         
.         
.         ****************************************************************************
.         *Table SI.4.11: Regressions with Heckman sample selection for departments with host cities
.         ****************************************************************************            
.         
.         *Model 1        
.         heckman lnrepression time time2, select(hostcity = lnpop_1970 literacy_avg vote_frejuli) robust
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1121.1892}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1107.0182}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1102.6003}  
Iteration 3:{space 3}log pseudolikelihood = {res: -1102.573}  
Iteration 4:{space 3}log pseudolikelihood = {res: -1102.573}  
{res}
{txt}Heckman selection model                         Number of obs     = {res}   128,421
{txt}(regression model with sample selection)              Selected    = {res}       585
                                                {txt}      Nonselected = {res}   127,836

                                                {txt}Wald chi2({res}2{txt})      =  {res}    10.85
{txt}Log pseudolikelihood = {res}-1102.573                {txt}Prob > chi2       =     {res}0.0044

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}lnrepression {txt}{c |}
{space 8}time {c |}{col 14}{res}{space 2} .3582085{col 26}{space 2} .1138593{col 37}{space 1}    3.15{col 46}{space 3}0.002{col 54}{space 4} .1350484{col 67}{space 3} .5813687
{txt}{space 7}time2 {c |}{col 14}{res}{space 2}-.2929885{col 26}{space 2}   .08922{col 37}{space 1}   -3.28{col 46}{space 3}0.001{col 54}{space 4}-.4678566{col 67}{space 3}-.1181204
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .2603628{col 26}{space 2} .0417195{col 37}{space 1}    6.24{col 46}{space 3}0.000{col 54}{space 4}  .178594{col 67}{space 3} .3421316
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}hostcity     {txt}{c |}
{space 2}lnpop_1970 {c |}{col 14}{res}{space 2} 1.758952{col 26}{space 2} .0630252{col 37}{space 1}   27.91{col 46}{space 3}0.000{col 54}{space 4} 1.635425{col 67}{space 3} 1.882479
{txt}literacy_avg {c |}{col 14}{res}{space 2}-4.586905{col 26}{space 2} .6061057{col 37}{space 1}   -7.57{col 46}{space 3}0.000{col 54}{space 4} -5.77485{col 67}{space 3} -3.39896
{txt}vote_frejuli {c |}{col 14}{res}{space 2}-.1916142{col 26}{space 2} .0038788{col 37}{space 1}  -49.40{col 46}{space 3}0.000{col 54}{space 4}-.1992164{col 67}{space 3}-.1840119
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-9.951679{col 26}{space 2} .4468171{col 37}{space 1}  -22.27{col 46}{space 3}0.000{col 54}{space 4}-10.82742{col 67}{space 3}-9.075934
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}/athrho {c |}{col 14}{res}{space 2}  -.92045{col 26}{space 2} .1295334{col 37}{space 1}   -7.11{col 46}{space 3}0.000{col 54}{space 4}-1.174331{col 67}{space 3}-.6665692
{txt}{space 4}/lnsigma {c |}{col 14}{res}{space 2}-1.127731{col 26}{space 2} .0680017{col 37}{space 1}  -16.58{col 46}{space 3}0.000{col 54}{space 4}-1.261012{col 67}{space 3}-.9944503
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
         rho {c |}{col 14}{res}{space 2}-.7261103{col 26}{space 2} .0612387{col 54}{space 4}-.8256556{col 67}{space 3}-.5827186
{txt}       sigma {c |}{col 14}{res}{space 2}  .323767{col 26}{space 2} .0220167{col 54}{space 4} .2833671{col 67}{space 3} .3699268
{txt}      lambda {c |}{col 14}{res}{space 2}-.2350905{col 26}{space 2} .0291926{col 54}{space 4}-.2923069{col 67}{space 3}-.1778742
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Wald test of indep. eqns. (rho = 0): chi2({res}1{txt}) = {res}   50.49   {txt}Prob > chi2 = {res}0.0000
{txt}
{com}.                 
.         *Model 2        
.         heckman lnrepression time time2, select(hostcity = lnpop_1970 literacy_avg vote_frejuli lnrebact1974 lnrepression70_77) robust 
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-755.89445}  
Iteration 1:{space 3}log pseudolikelihood = {res:-752.11886}  
Iteration 2:{space 3}log pseudolikelihood = {res:-752.08171}  
Iteration 3:{space 3}log pseudolikelihood = {res:-752.08171}  
{res}
{txt}Heckman selection model                         Number of obs     = {res}   128,421
{txt}(regression model with sample selection)              Selected    = {res}       585
                                                {txt}      Nonselected = {res}   127,836

                                                {txt}Wald chi2({res}2{txt})      =  {res}     8.92
{txt}Log pseudolikelihood = {res}-752.0817                {txt}Prob > chi2       =     {res}0.0116

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}lnrepression      {txt}{c |}
{space 13}time {c |}{col 19}{res}{space 2} .3849216{col 31}{space 2}  .136007{col 42}{space 1}    2.83{col 51}{space 3}0.005{col 59}{space 4} .1183528{col 72}{space 3} .6514905
{txt}{space 12}time2 {c |}{col 19}{res}{space 2}-.3117196{col 31}{space 2} .1050372{col 42}{space 1}   -2.97{col 51}{space 3}0.003{col 59}{space 4}-.5175888{col 72}{space 3}-.1058505
{txt}{space 12}_cons {c |}{col 19}{res}{space 2} .1043697{col 31}{space 2} .0412443{col 42}{space 1}    2.53{col 51}{space 3}0.011{col 59}{space 4} .0235324{col 72}{space 3} .1852071
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}hostcity          {txt}{c |}
{space 7}lnpop_1970 {c |}{col 19}{res}{space 2} 3.625206{col 31}{space 2} .3446922{col 42}{space 1}   10.52{col 51}{space 3}0.000{col 59}{space 4} 2.949621{col 72}{space 3}  4.30079
{txt}{space 5}literacy_avg {c |}{col 19}{res}{space 2}-4.113166{col 31}{space 2} .7044134{col 42}{space 1}   -5.84{col 51}{space 3}0.000{col 59}{space 4}-5.493791{col 72}{space 3}-2.732541
{txt}{space 5}vote_frejuli {c |}{col 19}{res}{space 2}-.3748109{col 31}{space 2}  .031263{col 42}{space 1}  -11.99{col 51}{space 3}0.000{col 59}{space 4}-.4360852{col 72}{space 3}-.3135366
{txt}{space 5}lnrebact1974 {c |}{col 19}{res}{space 2} -1.04422{col 31}{space 2} .1055078{col 42}{space 1}   -9.90{col 51}{space 3}0.000{col 59}{space 4}-1.251012{col 72}{space 3}-.8374288
{txt}lnrepression70_77 {c |}{col 19}{res}{space 2} .2630551{col 31}{space 2} .0492937{col 42}{space 1}    5.34{col 51}{space 3}0.000{col 59}{space 4} .1664412{col 72}{space 3} .3596689
{txt}{space 12}_cons {c |}{col 19}{res}{space 2} -22.3891{col 31}{space 2} 2.572432{col 42}{space 1}   -8.70{col 51}{space 3}0.000{col 59}{space 4}-27.43097{col 72}{space 3}-17.34723
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/athrho {c |}{col 19}{res}{space 2}-.4568322{col 31}{space 2}  .157215{col 42}{space 1}   -2.91{col 51}{space 3}0.004{col 59}{space 4}-.7649678{col 72}{space 3}-.1486965
{txt}{space 9}/lnsigma {c |}{col 19}{res}{space 2} -1.15791{col 31}{space 2} .0690855{col 42}{space 1}  -16.76{col 51}{space 3}0.000{col 59}{space 4}-1.293315{col 72}{space 3}-1.022505
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              rho {c |}{col 19}{res}{space 2}-.4274988{col 31}{space 2} .1284831{col 59}{space 4}-.6439938{col 72}{space 3}-.1476102
{txt}            sigma {c |}{col 19}{res}{space 2}  .314142{col 31}{space 2} .0217026{col 59}{space 4} .2743597{col 72}{space 3} .3596927
{txt}           lambda {c |}{col 19}{res}{space 2}-.1342953{col 31}{space 2} .0421687{col 59}{space 4}-.2169444{col 72}{space 3}-.0516462
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Wald test of indep. eqns. (rho = 0): chi2({res}1{txt}) = {res}    8.44   {txt}Prob > chi2 = {res}0.0037
{txt}
{com}. 
.         *Model 3
.         heckman lnrepression time time2 , select(hostcity = latitude lnpop_1970 vote_frejuli literacy_avg) robust       
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1118.2582}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1104.1189}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1099.1154}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1099.0733}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1099.0733}  
{res}
{txt}Heckman selection model                         Number of obs     = {res}   128,421
{txt}(regression model with sample selection)              Selected    = {res}       585
                                                {txt}      Nonselected = {res}   127,836

                                                {txt}Wald chi2({res}2{txt})      =  {res}    10.74
{txt}Log pseudolikelihood = {res}-1099.073                {txt}Prob > chi2       =     {res}0.0047

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}lnrepression {txt}{c |}
{space 8}time {c |}{col 14}{res}{space 2} .3579023{col 26}{space 2} .1145996{col 37}{space 1}    3.12{col 46}{space 3}0.002{col 54}{space 4} .1332911{col 67}{space 3} .5825134
{txt}{space 7}time2 {c |}{col 14}{res}{space 2}-.2928191{col 26}{space 2} .0896867{col 37}{space 1}   -3.26{col 46}{space 3}0.001{col 54}{space 4}-.4686018{col 67}{space 3}-.1170363
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .2571686{col 26}{space 2} .0427644{col 37}{space 1}    6.01{col 46}{space 3}0.000{col 54}{space 4} .1733519{col 67}{space 3} .3409853
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}hostcity     {txt}{c |}
{space 4}latitude {c |}{col 14}{res}{space 2} .0361097{col 26}{space 2} .0134271{col 37}{space 1}    2.69{col 46}{space 3}0.007{col 54}{space 4} .0097931{col 67}{space 3} .0624263
{txt}{space 2}lnpop_1970 {c |}{col 14}{res}{space 2} 1.777844{col 26}{space 2} .0631232{col 37}{space 1}   28.16{col 46}{space 3}0.000{col 54}{space 4} 1.654124{col 67}{space 3} 1.901563
{txt}vote_frejuli {c |}{col 14}{res}{space 2}-.1915989{col 26}{space 2} .0038611{col 37}{space 1}  -49.62{col 46}{space 3}0.000{col 54}{space 4}-.1991666{col 67}{space 3}-.1840312
{txt}literacy_avg {c |}{col 14}{res}{space 2}-3.953033{col 26}{space 2} .6761828{col 37}{space 1}   -5.85{col 46}{space 3}0.000{col 54}{space 4}-5.278327{col 67}{space 3}-2.627739
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-9.499408{col 26}{space 2} .4694464{col 37}{space 1}  -20.24{col 46}{space 3}0.000{col 54}{space 4}-10.41951{col 67}{space 3} -8.57931
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}/athrho {c |}{col 14}{res}{space 2}-.9083352{col 26}{space 2} .1367102{col 37}{space 1}   -6.64{col 46}{space 3}0.000{col 54}{space 4}-1.176282{col 67}{space 3}-.6403882
{txt}{space 4}/lnsigma {c |}{col 14}{res}{space 2}-1.129926{col 26}{space 2} .0683272{col 37}{space 1}  -16.54{col 46}{space 3}0.000{col 54}{space 4}-1.263844{col 67}{space 3}-.9960068
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
         rho {c |}{col 14}{res}{space 2}-.7203322{col 26}{space 2} .0657742{col 54}{space 4}-.8262757{col 67}{space 3}-.5651638
{txt}       sigma {c |}{col 14}{res}{space 2} .3230573{col 26}{space 2} .0220736{col 54}{space 4} .2825656{col 67}{space 3} .3693514
{txt}      lambda {c |}{col 14}{res}{space 2}-.2327086{col 26}{space 2} .0303223{col 54}{space 4}-.2921392{col 67}{space 3} -.173278
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Wald test of indep. eqns. (rho = 0): chi2({res}1{txt}) = {res}   44.15   {txt}Prob > chi2 = {res}0.0000
{txt}
{com}.         
.         *Model 4
.         heckprobit dumrepression time time2, select(hostcity = lnpop_1970 literacy_avg vote_frejuli) robust

{txt}Fitting probit model:

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-214.25231}  
Iteration 1:{space 3}log pseudolikelihood = {res:-212.17739}  
Iteration 2:{space 3}log pseudolikelihood = {res:-212.16959}  
Iteration 3:{space 3}log pseudolikelihood = {res:-212.16959}  
{res}
{txt}Fitting selection model:

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3737.6681}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2277.6235}  
Iteration 2:{space 3}log pseudolikelihood = {res: -1117.288}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1025.2846}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1024.8356}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1024.8341}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1024.8341}  
{res}
{txt}Fitting starting values:

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -405.4911}  
Iteration 1:{space 3}log pseudolikelihood = {res:-174.56264}  
Iteration 2:{space 3}log pseudolikelihood = {res:-163.47729}  
Iteration 3:{space 3}log pseudolikelihood = {res:-163.10757}  
Iteration 4:{space 3}log pseudolikelihood = {res:-163.10637}  
Iteration 5:{space 3}log pseudolikelihood = {res:-163.10637}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1191.7469}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1188.3823}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1188.3642}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1188.3642}  
{res}
{txt}Probit model with sample selection              Number of obs     = {res}   128,421
{txt}                                                      Selected    = {res}       585
                                                {txt}      Nonselected = {res}   127,836

                                                {txt}Wald chi2({res}2{txt})      =  {res}     8.85
{txt}Log pseudolikelihood = {res}-1188.364                {txt}Prob > chi2       =     {res}0.0120

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}dumrepression {txt}{c |}
{space 9}time {c |}{col 15}{res}{space 2} 2.060889{col 27}{space 2} .7600916{col 38}{space 1}    2.71{col 47}{space 3}0.007{col 55}{space 4} .5711367{col 68}{space 3} 3.550641
{txt}{space 8}time2 {c |}{col 15}{res}{space 2}-1.698111{col 27}{space 2} .5799562{col 38}{space 1}   -2.93{col 47}{space 3}0.003{col 55}{space 4}-2.834804{col 68}{space 3}-.5614177
{txt}{space 8}_cons {c |}{col 15}{res}{space 2} -.837871{col 27}{space 2} .2384945{col 38}{space 1}   -3.51{col 47}{space 3}0.000{col 55}{space 4}-1.305312{col 68}{space 3}-.3704303
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}hostcity      {txt}{c |}
{space 3}lnpop_1970 {c |}{col 15}{res}{space 2} 1.923415{col 27}{space 2} .0579218{col 38}{space 1}   33.21{col 47}{space 3}0.000{col 55}{space 4}  1.80989{col 68}{space 3} 2.036939
{txt}{space 1}literacy_avg {c |}{col 15}{res}{space 2}-5.897248{col 27}{space 2} .5394993{col 38}{space 1}  -10.93{col 47}{space 3}0.000{col 55}{space 4}-6.954647{col 68}{space 3}-4.839849
{txt}{space 1}vote_frejuli {c |}{col 15}{res}{space 2}-.1917764{col 27}{space 2} .0038968{col 38}{space 1}  -49.21{col 47}{space 3}0.000{col 55}{space 4} -.199414{col 68}{space 3}-.1841388
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-10.87555{col 27}{space 2} .3955979{col 38}{space 1}  -27.49{col 47}{space 3}0.000{col 55}{space 4}-11.65091{col 68}{space 3} -10.1002
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}/athrho {c |}{col 15}{res}{space 2}-1.024716{col 27}{space 2} .1375073{col 38}{space 1}   -7.45{col 47}{space 3}0.000{col 55}{space 4}-1.294226{col 68}{space 3}-.7552072
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
          rho {c |}{col 15}{res}{space 2}-.7717806{col 27}{space 2} .0556017{col 55}{space 4}-.8602293{col 68}{space 3}-.6382452
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Wald test of indep. eqns. (rho = 0): chi2({res}1{txt}) = {res}   55.53   {txt}Prob > chi2 = {res}0.0000
{txt}
{com}.                 
.         *Model 5        
.         heckprobit dumrepression time time2, select(hostcity = lnpop_1970 literacy_avg vote_frejuli lnrebact1974 lnrepression70_77) robust

{txt}Fitting probit model:

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-214.25231}  
Iteration 1:{space 3}log pseudolikelihood = {res:-212.17739}  
Iteration 2:{space 3}log pseudolikelihood = {res:-212.16959}  
Iteration 3:{space 3}log pseudolikelihood = {res:-212.16959}  
{res}
{txt}Fitting selection model:

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3737.6681}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1908.0649}  
Iteration 2:{space 3}log pseudolikelihood = {res:-879.29075}  
Iteration 3:{space 3}log pseudolikelihood = {res:-779.32624}  
Iteration 4:{space 3}log pseudolikelihood = {res:-677.65943}  
Iteration 5:{space 3}log pseudolikelihood = {res: -620.8888}  
Iteration 6:{space 3}log pseudolikelihood = {res:-609.97957}  
Iteration 7:{space 3}log pseudolikelihood = {res:-609.86566}  
Iteration 8:{space 3}log pseudolikelihood = {res:-609.86556}  
Iteration 9:{space 3}log pseudolikelihood = {res:-609.86556}  
{res}
{txt}Fitting starting values:

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -405.4911}  
Iteration 1:{space 3}log pseudolikelihood = {res:-202.86983}  
Iteration 2:{space 3}log pseudolikelihood = {res:-198.65618}  
Iteration 3:{space 3}log pseudolikelihood = {res:-198.60917}  
Iteration 4:{space 3}log pseudolikelihood = {res:-198.60913}  
Iteration 5:{space 3}log pseudolikelihood = {res:-198.60913}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-809.69067}  
Iteration 1:{space 3}log pseudolikelihood = {res: -806.7317}  
Iteration 2:{space 3}log pseudolikelihood = {res:  -806.724}  
Iteration 3:{space 3}log pseudolikelihood = {res:  -806.724}  
{res}
{txt}Probit model with sample selection              Number of obs     = {res}   128,421
{txt}                                                      Selected    = {res}       585
                                                {txt}      Nonselected = {res}   127,836

                                                {txt}Wald chi2({res}2{txt})      =  {res}     5.48
{txt}Log pseudolikelihood = {res} -806.724                {txt}Prob > chi2       =     {res}0.0645

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}dumrepression     {txt}{c |}
{space 13}time {c |}{col 19}{res}{space 2} 1.772001{col 31}{space 2}  .852923{col 42}{space 1}    2.08{col 51}{space 3}0.038{col 59}{space 4}  .100303{col 72}{space 3}   3.4437
{txt}{space 12}time2 {c |}{col 19}{res}{space 2}-1.495339{col 31}{space 2} .6578699{col 42}{space 1}   -2.27{col 51}{space 3}0.023{col 59}{space 4}-2.784741{col 72}{space 3}-.2059379
{txt}{space 12}_cons {c |}{col 19}{res}{space 2} -1.26014{col 31}{space 2} .2436945{col 42}{space 1}   -5.17{col 51}{space 3}0.000{col 59}{space 4}-1.737773{col 72}{space 3}-.7825081
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}hostcity          {txt}{c |}
{space 7}lnpop_1970 {c |}{col 19}{res}{space 2} 3.855815{col 31}{space 2} .2312087{col 42}{space 1}   16.68{col 51}{space 3}0.000{col 59}{space 4} 3.402654{col 72}{space 3} 4.308976
{txt}{space 5}literacy_avg {c |}{col 19}{res}{space 2}-4.152844{col 31}{space 2} .7012627{col 42}{space 1}   -5.92{col 51}{space 3}0.000{col 59}{space 4}-5.527294{col 72}{space 3}-2.778395
{txt}{space 5}vote_frejuli {c |}{col 19}{res}{space 2}-.3956999{col 31}{space 2} .0216369{col 42}{space 1}  -18.29{col 51}{space 3}0.000{col 59}{space 4}-.4381074{col 72}{space 3}-.3532924
{txt}{space 5}lnrebact1974 {c |}{col 19}{res}{space 2}-1.114918{col 31}{space 2} .0704786{col 42}{space 1}  -15.82{col 51}{space 3}0.000{col 59}{space 4}-1.253054{col 72}{space 3}-.9767826
{txt}lnrepression70_77 {c |}{col 19}{res}{space 2} .2526608{col 31}{space 2} .0484337{col 42}{space 1}    5.22{col 51}{space 3}0.000{col 59}{space 4} .1577326{col 72}{space 3}  .347589
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-23.94489{col 31}{space 2} 1.837786{col 42}{space 1}  -13.03{col 51}{space 3}0.000{col 59}{space 4}-27.54689{col 72}{space 3} -20.3429
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/athrho {c |}{col 19}{res}{space 2}-.5933297{col 31}{space 2} .1407421{col 42}{space 1}   -4.22{col 51}{space 3}0.000{col 59}{space 4}-.8691792{col 72}{space 3}-.3174802
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              rho {c |}{col 19}{res}{space 2}-.5322861{col 31}{space 2} .1008659{col 59}{space 4}-.7009568{col 72}{space 3}-.3072267
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Wald test of indep. eqns. (rho = 0): chi2({res}1{txt}) = {res}   17.77   {txt}Prob > chi2 = {res}0.0000
{txt}
{com}.         
.         *Model 6        
.         heckprobit dumrepression time time2, select(hostcity = latitude lnpop_1970 vote_frejuli literacy_avg) robust 

{txt}Fitting probit model:

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-214.25231}  
Iteration 1:{space 3}log pseudolikelihood = {res:-212.17739}  
Iteration 2:{space 3}log pseudolikelihood = {res:-212.16959}  
Iteration 3:{space 3}log pseudolikelihood = {res:-212.16959}  
{res}
{txt}Fitting selection model:

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3737.6681}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2283.7023}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1111.2012}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1017.8667}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1017.0585}  
Iteration 5:{space 3}log pseudolikelihood = {res: -1017.057}  
Iteration 6:{space 3}log pseudolikelihood = {res: -1017.057}  
{res}
{txt}Fitting starting values:

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -405.4911}  
Iteration 1:{space 3}log pseudolikelihood = {res:-176.82761}  
Iteration 2:{space 3}log pseudolikelihood = {res:-167.34449}  
Iteration 3:{space 3}log pseudolikelihood = {res:-167.07634}  
Iteration 4:{space 3}log pseudolikelihood = {res:-167.07553}  
Iteration 5:{space 3}log pseudolikelihood = {res:-167.07553}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -1191.472}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1183.7767}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1183.7405}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1183.7405}  
{res}
{txt}Probit model with sample selection              Number of obs     = {res}   128,421
{txt}                                                      Selected    = {res}       585
                                                {txt}      Nonselected = {res}   127,836

                                                {txt}Wald chi2({res}2{txt})      =  {res}     8.35
{txt}Log pseudolikelihood = {res} -1183.74                {txt}Prob > chi2       =     {res}0.0154

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}dumrepression {txt}{c |}
{space 9}time {c |}{col 15}{res}{space 2} 2.041834{col 27}{space 2}  .779885{col 38}{space 1}    2.62{col 47}{space 3}0.009{col 55}{space 4} .5132876{col 68}{space 3} 3.570381
{txt}{space 8}time2 {c |}{col 15}{res}{space 2}-1.689887{col 27}{space 2} .5957853{col 38}{space 1}   -2.84{col 47}{space 3}0.005{col 55}{space 4}-2.857604{col 68}{space 3}-.5221689
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-.8777372{col 27}{space 2} .2402983{col 38}{space 1}   -3.65{col 47}{space 3}0.000{col 55}{space 4}-1.348713{col 68}{space 3}-.4067612
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}hostcity      {txt}{c |}
{space 5}latitude {c |}{col 15}{res}{space 2} .0473897{col 27}{space 2} .0165799{col 38}{space 1}    2.86{col 47}{space 3}0.004{col 55}{space 4} .0148937{col 68}{space 3} .0798858
{txt}{space 3}lnpop_1970 {c |}{col 15}{res}{space 2} 1.940662{col 27}{space 2} .0539507{col 38}{space 1}   35.97{col 47}{space 3}0.000{col 55}{space 4}  1.83492{col 68}{space 3} 2.046403
{txt}{space 1}vote_frejuli {c |}{col 15}{res}{space 2}-.1912676{col 27}{space 2} .0038123{col 38}{space 1}  -50.17{col 47}{space 3}0.000{col 55}{space 4}-.1987396{col 68}{space 3}-.1837956
{txt}{space 1}literacy_avg {c |}{col 15}{res}{space 2}-4.969731{col 27}{space 2} .6790476{col 38}{space 1}   -7.32{col 47}{space 3}0.000{col 55}{space 4} -6.30064{col 68}{space 3}-3.638823
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-10.29311{col 27}{space 2} .4142668{col 38}{space 1}  -24.85{col 47}{space 3}0.000{col 55}{space 4}-11.10506{col 68}{space 3}-9.481161
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}/athrho {c |}{col 15}{res}{space 2}-.9624228{col 27}{space 2}  .126374{col 38}{space 1}   -7.62{col 47}{space 3}0.000{col 55}{space 4}-1.210111{col 68}{space 3}-.7147344
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
          rho {c |}{col 15}{res}{space 2}-.7453556{col 27}{space 2} .0561663{col 55}{space 4}-.8367128{col 68}{space 3} -.613637
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Wald test of indep. eqns. (rho = 0): chi2({res}1{txt}) = {res}   58.00   {txt}Prob > chi2 = {res}0.0000
{txt}
{com}.         
.         
.         
.         ****************************************************************************
.         *Table SI.4.12: Negative binomial regression results with week-level data
.         ****************************************************************************            
.                         
.         *Preserving data
.         preserve
{txt}
{com}.                 
.         *Generating week variable
.         gen week=wofd(date)
{txt}
{com}.         format week %tw
{txt}
{com}. 
.         *Keeping obs of window
.         keep if time!=.
{txt}(75,349 observations deleted)

{com}.         
.         *Collapsing data by department-week
.         #delimit ;
{txt}delimiter now ;
{com}.         collapse (sum) repression_w=repression 
>                          (first) hostcity lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77 zone*
>                          , 
>                          by(id week)
>                          ;
{txt}
{com}.         #delimit cr
{txt}delimiter now cr
{com}.                                  
.         *Generating running number for week variable
.         bys id (week): gen time=_n
{txt}
{com}.         replace time=time/10
{txt}(8,982 real changes made)

{com}.         gen time2=time^2
{txt}
{com}. 
.         *Preparing repression variable
.         gen lnrepression_w = ln(repression_w + 1)               
{txt}
{com}.                 
.         *Generating interactions
.         gen hostcitytime=hostcity*time
{txt}
{com}.         gen hostcitytime2=hostcity*time2                
{txt}
{com}.                         
.                 
.         *Model 1
.         nbreg repression_w hostcitytime hostcitytime2 hostcity time time2, robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-11547.175}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-9093.6698}  (not concave)
Iteration 2:{space 3}log pseudolikelihood = {res:-7671.4418}  (not concave)
Iteration 3:{space 3}log pseudolikelihood = {res:-7147.3356}  (not concave)
Iteration 4:{space 3}log pseudolikelihood = {res:-7029.7846}  
Iteration 5:{space 3}log pseudolikelihood = {res:-4359.4501}  (backed up)
Iteration 6:{space 3}log pseudolikelihood = {res:-2250.4382}  (backed up)
Iteration 7:{space 3}log pseudolikelihood = {res:-1565.7596}  
Iteration 8:{space 3}log pseudolikelihood = {res:-1334.7271}  
Iteration 9:{space 3}log pseudolikelihood = {res:-1144.5032}  
Iteration 10:{space 2}log pseudolikelihood = {res:-1136.6313}  
Iteration 11:{space 2}log pseudolikelihood = {res:-1136.4605}  
Iteration 12:{space 2}log pseudolikelihood = {res:-1136.4604}  
Iteration 13:{space 2}log pseudolikelihood = {res:-1136.4604}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1300.6098}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-903.93139}  
Iteration 2:{space 3}log pseudolikelihood = {res:-898.95459}  
Iteration 3:{space 3}log pseudolikelihood = {res:-898.95458}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-867.42827}  
Iteration 1:{space 3}log pseudolikelihood = {res:-864.35413}  
Iteration 2:{space 3}log pseudolikelihood = {res:-848.70424}  
Iteration 3:{space 3}log pseudolikelihood = {res:-848.14226}  
Iteration 4:{space 3}log pseudolikelihood = {res:-848.12803}  
Iteration 5:{space 3}log pseudolikelihood = {res:-848.12799}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     8,982
{txt}{col 49}Wald chi2({res}5{txt}){col 67}= {res}    291.99
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-848.12799{txt}{col 49}Pseudo R2{col 67}= {res}    0.0565

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1} repression_w{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}hostcitytime {c |}{col 15}{res}{space 2} 5.264881{col 27}{space 2} 2.180545{col 38}{space 1}    2.41{col 47}{space 3}0.016{col 55}{space 4} .9910912{col 68}{space 3} 9.538671
{txt}hostcitytime2 {c |}{col 15}{res}{space 2}-2.852473{col 27}{space 2} 1.137232{col 38}{space 1}   -2.51{col 47}{space 3}0.012{col 55}{space 4}-5.081407{col 68}{space 3}-.6235381
{txt}{space 5}hostcity {c |}{col 15}{res}{space 2}  2.35411{col 27}{space 2} .9185361{col 38}{space 1}    2.56{col 47}{space 3}0.010{col 55}{space 4} .5538124{col 68}{space 3} 4.154408
{txt}{space 9}time {c |}{col 15}{res}{space 2}-.0624742{col 27}{space 2} 1.030047{col 38}{space 1}   -0.06{col 47}{space 3}0.952{col 55}{space 4}-2.081328{col 68}{space 3}  1.95638
{txt}{space 8}time2 {c |}{col 15}{res}{space 2}-.1041922{col 27}{space 2} .5125758{col 38}{space 1}   -0.20{col 47}{space 3}0.839{col 55}{space 4}-1.108822{col 68}{space 3} .9004379
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-3.749942{col 27}{space 2} .4645472{col 38}{space 1}   -8.07{col 47}{space 3}0.000{col 55}{space 4}-4.660438{col 68}{space 3}-2.839446
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}/lnalpha {c |}{col 15}{res}{space 2} 3.680161{col 27}{space 2} .2609649{col 55}{space 4}  3.16868{col 68}{space 3} 4.191643
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
        alpha {c |}{col 15}{res}{space 2}  39.6528{col 27}{space 2} 10.34799{col 55}{space 4} 23.77607{col 68}{space 3} 66.13137
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.                 
.         *Model 2
.         nbreg repression_w hostcitytime hostcitytime2 hostcity time time2 lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77, robust           

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-10334.334}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-5352.8857}  
Iteration 2:{space 3}log pseudolikelihood = {res:-4297.2202}  (backed up)
Iteration 3:{space 3}log pseudolikelihood = {res:-3170.3043}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1997.4906}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1204.8639}  
Iteration 6:{space 3}log pseudolikelihood = {res:-718.18622}  
Iteration 7:{space 3}log pseudolikelihood = {res:-685.16948}  
Iteration 8:{space 3}log pseudolikelihood = {res:-681.16026}  
Iteration 9:{space 3}log pseudolikelihood = {res:-681.15637}  
Iteration 10:{space 2}log pseudolikelihood = {res:-681.15637}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1287.1957}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-894.75537}  
Iteration 2:{space 3}log pseudolikelihood = {res:-889.44636}  
Iteration 3:{space 3}log pseudolikelihood = {res:-889.44634}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-831.73427}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-769.50489}  (not concave)
Iteration 2:{space 3}log pseudolikelihood = {res:-669.21845}  
Iteration 3:{space 3}log pseudolikelihood = {res:-639.31441}  (not concave)
Iteration 4:{space 3}log pseudolikelihood = {res:-610.34055}  
Iteration 5:{space 3}log pseudolikelihood = {res:-600.79833}  
Iteration 6:{space 3}log pseudolikelihood = {res:-600.57963}  
Iteration 7:{space 3}log pseudolikelihood = {res:-600.57892}  
Iteration 8:{space 3}log pseudolikelihood = {res:-600.57892}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     8,676
{txt}{col 49}Wald chi2({res}10{txt}){col 67}= {res}    456.87
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-600.57892{txt}{col 49}Pseudo R2{col 67}= {res}    0.3248

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}     repression_w{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}hostcitytime {c |}{col 19}{res}{space 2} 5.952225{col 31}{space 2} 1.949694{col 42}{space 1}    3.05{col 51}{space 3}0.002{col 59}{space 4} 2.130894{col 72}{space 3} 9.773555
{txt}{space 4}hostcitytime2 {c |}{col 19}{res}{space 2}-3.156227{col 31}{space 2}  .949525{col 42}{space 1}   -3.32{col 51}{space 3}0.001{col 59}{space 4}-5.017262{col 72}{space 3}-1.295192
{txt}{space 9}hostcity {c |}{col 19}{res}{space 2}-1.824495{col 31}{space 2} .8467161{col 42}{space 1}   -2.15{col 51}{space 3}0.031{col 59}{space 4}-3.484028{col 72}{space 3}-.1649621
{txt}{space 13}time {c |}{col 19}{res}{space 2}-.2867971{col 31}{space 2}  1.15929{col 42}{space 1}   -0.25{col 51}{space 3}0.805{col 59}{space 4}-2.558963{col 72}{space 3} 1.985369
{txt}{space 12}time2 {c |}{col 19}{res}{space 2}-.0105308{col 31}{space 2} .5473926{col 42}{space 1}   -0.02{col 51}{space 3}0.985{col 59}{space 4}-1.083401{col 72}{space 3} 1.062339
{txt}{space 7}lnpop_1970 {c |}{col 19}{res}{space 2} .2663684{col 31}{space 2} .3498835{col 42}{space 1}    0.76{col 51}{space 3}0.446{col 59}{space 4}-.4193907{col 72}{space 3} .9521275
{txt}{space 5}vote_frejuli {c |}{col 19}{res}{space 2} .0377883{col 31}{space 2} .0170248{col 42}{space 1}    2.22{col 51}{space 3}0.026{col 59}{space 4} .0044203{col 72}{space 3} .0711562
{txt}{space 5}literacy_avg {c |}{col 19}{res}{space 2} 2.730112{col 31}{space 2} 3.875836{col 42}{space 1}    0.70{col 51}{space 3}0.481{col 59}{space 4}-4.866387{col 72}{space 3} 10.32661
{txt}{space 5}lnrebact1974 {c |}{col 19}{res}{space 2} .0880399{col 31}{space 2} .0851815{col 42}{space 1}    1.03{col 51}{space 3}0.301{col 59}{space 4}-.0789128{col 72}{space 3} .2549927
{txt}lnrepression70_77 {c |}{col 19}{res}{space 2} .8081742{col 31}{space 2} .2488656{col 42}{space 1}    3.25{col 51}{space 3}0.001{col 59}{space 4} .3204066{col 72}{space 3} 1.295942
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-13.27206{col 31}{space 2}  4.27708{col 42}{space 1}   -3.10{col 51}{space 3}0.002{col 59}{space 4}-21.65499{col 72}{space 3} -4.88914
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}/lnalpha {c |}{col 19}{res}{space 2}  1.28702{col 31}{space 2} .4138847{col 59}{space 4} .4758206{col 72}{space 3} 2.098219
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
            alpha {c |}{col 19}{res}{space 2} 3.621976{col 31}{space 2}  1.49908{col 59}{space 4} 1.609334{col 72}{space 3} 8.151636
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.                 
.         *Model 3
.         nbreg repression_w hostcitytime hostcitytime2 hostcity time time2 lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77 zone2-zone5, robust                       

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-10746.501}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res: -9886.781}  (not concave)
Iteration 2:{space 3}log pseudolikelihood = {res:-9787.9132}  (not concave)
Iteration 3:{space 3}log pseudolikelihood = {res:-9474.9258}  (not concave)
Iteration 4:{space 3}log pseudolikelihood = {res:-9424.7681}  (not concave)
Iteration 5:{space 3}log pseudolikelihood = {res:-9171.7007}  (not concave)
Iteration 6:{space 3}log pseudolikelihood = {res:-8727.1858}  (not concave)
Iteration 7:{space 3}log pseudolikelihood = {res:-8053.5365}  (not concave)
Iteration 8:{space 3}log pseudolikelihood = {res:-7783.7383}  (not concave)
Iteration 9:{space 3}log pseudolikelihood = {res:-6942.4711}  
Iteration 10:{space 2}log pseudolikelihood = {res:-6780.1646}  (backed up)
Iteration 11:{space 2}log pseudolikelihood = {res:-5704.0963}  (backed up)
Iteration 12:{space 2}log pseudolikelihood = {res:-5578.7049}  (backed up)
Iteration 13:{space 2}log pseudolikelihood = {res:-5398.2076}  (backed up)
Iteration 14:{space 2}log pseudolikelihood = {res:-3450.8489}  (backed up)
Iteration 15:{space 2}log pseudolikelihood = {res:-1304.3064}  (backed up)
Iteration 16:{space 2}log pseudolikelihood = {res: -1148.628}  
Iteration 17:{space 2}log pseudolikelihood = {res:-748.53834}  
Iteration 18:{space 2}log pseudolikelihood = {res:-658.13266}  
Iteration 19:{space 2}log pseudolikelihood = {res:-655.45778}  
Iteration 20:{space 2}log pseudolikelihood = {res:-655.42708}  
Iteration 21:{space 2}log pseudolikelihood = {res:-655.42708}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1287.1957}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-894.75537}  
Iteration 2:{space 3}log pseudolikelihood = {res:-889.44636}  
Iteration 3:{space 3}log pseudolikelihood = {res:-889.44634}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-828.25099}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-746.02365}  
Iteration 2:{space 3}log pseudolikelihood = {res:-610.54514}  
Iteration 3:{space 3}log pseudolikelihood = {res:-594.75552}  
Iteration 4:{space 3}log pseudolikelihood = {res:-590.48497}  
Iteration 5:{space 3}log pseudolikelihood = {res:-590.26264}  
Iteration 6:{space 3}log pseudolikelihood = {res:-590.26249}  
Iteration 7:{space 3}log pseudolikelihood = {res:-590.26249}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     8,676
{txt}{col 49}Wald chi2({res}14{txt}){col 67}= {res}    554.49
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-590.26249{txt}{col 49}Pseudo R2{col 67}= {res}    0.3364

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}     repression_w{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}hostcitytime {c |}{col 19}{res}{space 2} 6.792803{col 31}{space 2} 1.899682{col 42}{space 1}    3.58{col 51}{space 3}0.000{col 59}{space 4} 3.069495{col 72}{space 3} 10.51611
{txt}{space 4}hostcitytime2 {c |}{col 19}{res}{space 2}-3.623981{col 31}{space 2} .9234508{col 42}{space 1}   -3.92{col 51}{space 3}0.000{col 59}{space 4}-5.433912{col 72}{space 3}-1.814051
{txt}{space 9}hostcity {c |}{col 19}{res}{space 2}-2.000297{col 31}{space 2} .8119929{col 42}{space 1}   -2.46{col 51}{space 3}0.014{col 59}{space 4}-3.591774{col 72}{space 3}-.4088201
{txt}{space 13}time {c |}{col 19}{res}{space 2}-.3141278{col 31}{space 2} 1.196838{col 42}{space 1}   -0.26{col 51}{space 3}0.793{col 59}{space 4}-2.659888{col 72}{space 3} 2.031632
{txt}{space 12}time2 {c |}{col 19}{res}{space 2}  .002211{col 31}{space 2} .5576487{col 42}{space 1}    0.00{col 51}{space 3}0.997{col 59}{space 4} -1.09076{col 72}{space 3} 1.095182
{txt}{space 7}lnpop_1970 {c |}{col 19}{res}{space 2} .3121818{col 31}{space 2} .3672601{col 42}{space 1}    0.85{col 51}{space 3}0.395{col 59}{space 4}-.4076348{col 72}{space 3} 1.031998
{txt}{space 5}vote_frejuli {c |}{col 19}{res}{space 2} .0348526{col 31}{space 2} .0147537{col 42}{space 1}    2.36{col 51}{space 3}0.018{col 59}{space 4} .0059358{col 72}{space 3} .0637694
{txt}{space 5}literacy_avg {c |}{col 19}{res}{space 2}  1.27961{col 31}{space 2} 3.678774{col 42}{space 1}    0.35{col 51}{space 3}0.728{col 59}{space 4}-5.930655{col 72}{space 3} 8.489875
{txt}{space 5}lnrebact1974 {c |}{col 19}{res}{space 2}-.0481324{col 31}{space 2} .1112428{col 42}{space 1}   -0.43{col 51}{space 3}0.665{col 59}{space 4}-.2661644{col 72}{space 3} .1698995
{txt}lnrepression70_77 {c |}{col 19}{res}{space 2}  .759292{col 31}{space 2} .2817854{col 42}{space 1}    2.69{col 51}{space 3}0.007{col 59}{space 4} .2070028{col 72}{space 3} 1.311581
{txt}{space 12}zone2 {c |}{col 19}{res}{space 2}-2.117935{col 31}{space 2} .4546174{col 42}{space 1}   -4.66{col 51}{space 3}0.000{col 59}{space 4}-3.008968{col 72}{space 3}-1.226901
{txt}{space 12}zone3 {c |}{col 19}{res}{space 2}-.7260435{col 31}{space 2} .4523011{col 42}{space 1}   -1.61{col 51}{space 3}0.108{col 59}{space 4}-1.612537{col 72}{space 3} .1604504
{txt}{space 12}zone4 {c |}{col 19}{res}{space 2}-.4028614{col 31}{space 2}  .287705{col 42}{space 1}   -1.40{col 51}{space 3}0.161{col 59}{space 4}-.9667529{col 72}{space 3}   .16103
{txt}{space 12}zone5 {c |}{col 19}{res}{space 2}-.7706771{col 31}{space 2} .5529361{col 42}{space 1}   -1.39{col 51}{space 3}0.163{col 59}{space 4}-1.854412{col 72}{space 3} .3130578
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-11.35852{col 31}{space 2} 4.503822{col 42}{space 1}   -2.52{col 51}{space 3}0.012{col 59}{space 4}-20.18585{col 72}{space 3}-2.531191
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}/lnalpha {c |}{col 19}{res}{space 2} 1.113761{col 31}{space 2} .4785884{col 59}{space 4} .1757453{col 72}{space 3} 2.051777
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
            alpha {c |}{col 19}{res}{space 2} 3.045793{col 31}{space 2} 1.457681{col 59}{space 4} 1.192134{col 72}{space 3}  7.78172
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.                 
.         *Model 4
.         nbreg repression_w hostcitytime hostcitytime2 hostcity time time2, cluster(id)

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-11547.175}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-9093.6698}  (not concave)
Iteration 2:{space 3}log pseudolikelihood = {res:-7671.4418}  (not concave)
Iteration 3:{space 3}log pseudolikelihood = {res:-7147.3356}  (not concave)
Iteration 4:{space 3}log pseudolikelihood = {res:-7029.7846}  
Iteration 5:{space 3}log pseudolikelihood = {res:-4359.4501}  (backed up)
Iteration 6:{space 3}log pseudolikelihood = {res:-2250.4382}  (backed up)
Iteration 7:{space 3}log pseudolikelihood = {res:-1565.7596}  
Iteration 8:{space 3}log pseudolikelihood = {res:-1334.7271}  
Iteration 9:{space 3}log pseudolikelihood = {res:-1144.5032}  
Iteration 10:{space 2}log pseudolikelihood = {res:-1136.6313}  
Iteration 11:{space 2}log pseudolikelihood = {res:-1136.4605}  
Iteration 12:{space 2}log pseudolikelihood = {res:-1136.4604}  
Iteration 13:{space 2}log pseudolikelihood = {res:-1136.4604}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1300.6098}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-903.93139}  
Iteration 2:{space 3}log pseudolikelihood = {res:-898.95459}  
Iteration 3:{space 3}log pseudolikelihood = {res:-898.95458}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-867.42827}  
Iteration 1:{space 3}log pseudolikelihood = {res:-864.35413}  
Iteration 2:{space 3}log pseudolikelihood = {res:-848.70424}  
Iteration 3:{space 3}log pseudolikelihood = {res:-848.14226}  
Iteration 4:{space 3}log pseudolikelihood = {res:-848.12803}  
Iteration 5:{space 3}log pseudolikelihood = {res:-848.12799}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     8,982
{txt}{col 49}Wald chi2({res}5{txt}){col 67}= {res}   1490.57
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-848.12799{txt}{col 49}Pseudo R2{col 67}= {res}    0.0565

{txt}{ralign 79:(Std. Err. adjusted for {res:499} clusters in id)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1} repression_w{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}hostcitytime {c |}{col 15}{res}{space 2} 5.264881{col 27}{space 2} 1.142814{col 38}{space 1}    4.61{col 47}{space 3}0.000{col 55}{space 4} 3.025008{col 68}{space 3} 7.504755
{txt}hostcitytime2 {c |}{col 15}{res}{space 2}-2.852473{col 27}{space 2} .6338763{col 38}{space 1}   -4.50{col 47}{space 3}0.000{col 55}{space 4}-4.094847{col 68}{space 3}-1.610098
{txt}{space 5}hostcity {c |}{col 15}{res}{space 2}  2.35411{col 27}{space 2} .9575815{col 38}{space 1}    2.46{col 47}{space 3}0.014{col 55}{space 4} .4772849{col 68}{space 3} 4.230935
{txt}{space 9}time {c |}{col 15}{res}{space 2}-.0624742{col 27}{space 2} .9207104{col 38}{space 1}   -0.07{col 47}{space 3}0.946{col 55}{space 4}-1.867033{col 68}{space 3} 1.742085
{txt}{space 8}time2 {c |}{col 15}{res}{space 2}-.1041922{col 27}{space 2}  .475005{col 38}{space 1}   -0.22{col 47}{space 3}0.826{col 55}{space 4}-1.035185{col 68}{space 3} .8268006
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-3.749942{col 27}{space 2} .4579097{col 38}{space 1}   -8.19{col 47}{space 3}0.000{col 55}{space 4}-4.647428{col 68}{space 3}-2.852455
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}/lnalpha {c |}{col 15}{res}{space 2} 3.680161{col 27}{space 2} .4831061{col 55}{space 4} 2.733291{col 68}{space 3} 4.627032
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
        alpha {c |}{col 15}{res}{space 2}  39.6528{col 27}{space 2} 19.15651{col 55}{space 4} 15.38343{col 68}{space 3} 102.2103
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
.         *Model 5
.         nbreg repression_w hostcitytime hostcitytime2 hostcity time time2 lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77, cluster(id)              

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-10334.334}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-5352.8857}  
Iteration 2:{space 3}log pseudolikelihood = {res:-4297.2202}  (backed up)
Iteration 3:{space 3}log pseudolikelihood = {res:-3170.3043}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1997.4906}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1204.8639}  
Iteration 6:{space 3}log pseudolikelihood = {res:-718.18622}  
Iteration 7:{space 3}log pseudolikelihood = {res:-685.16948}  
Iteration 8:{space 3}log pseudolikelihood = {res:-681.16026}  
Iteration 9:{space 3}log pseudolikelihood = {res:-681.15637}  
Iteration 10:{space 2}log pseudolikelihood = {res:-681.15637}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1287.1957}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-894.75537}  
Iteration 2:{space 3}log pseudolikelihood = {res:-889.44636}  
Iteration 3:{space 3}log pseudolikelihood = {res:-889.44634}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-831.73427}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-769.50489}  (not concave)
Iteration 2:{space 3}log pseudolikelihood = {res:-669.21845}  
Iteration 3:{space 3}log pseudolikelihood = {res:-639.31441}  (not concave)
Iteration 4:{space 3}log pseudolikelihood = {res:-610.34055}  
Iteration 5:{space 3}log pseudolikelihood = {res:-600.79833}  
Iteration 6:{space 3}log pseudolikelihood = {res:-600.57963}  
Iteration 7:{space 3}log pseudolikelihood = {res:-600.57892}  
Iteration 8:{space 3}log pseudolikelihood = {res:-600.57892}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     8,676
{txt}{col 49}Wald chi2({res}10{txt}){col 67}= {res}    410.21
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-600.57892{txt}{col 49}Pseudo R2{col 67}= {res}    0.3248

{txt}{ralign 83:(Std. Err. adjusted for {res:482} clusters in id)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}     repression_w{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}hostcitytime {c |}{col 19}{res}{space 2} 5.952225{col 31}{space 2} 1.653202{col 42}{space 1}    3.60{col 51}{space 3}0.000{col 59}{space 4} 2.712009{col 72}{space 3} 9.192441
{txt}{space 4}hostcitytime2 {c |}{col 19}{res}{space 2}-3.156227{col 31}{space 2} .8237546{col 42}{space 1}   -3.83{col 51}{space 3}0.000{col 59}{space 4}-4.770756{col 72}{space 3}-1.541698
{txt}{space 9}hostcity {c |}{col 19}{res}{space 2}-1.824495{col 31}{space 2} .9091158{col 42}{space 1}   -2.01{col 51}{space 3}0.045{col 59}{space 4}-3.606329{col 72}{space 3}-.0426609
{txt}{space 13}time {c |}{col 19}{res}{space 2}-.2867971{col 31}{space 2} 1.154658{col 42}{space 1}   -0.25{col 51}{space 3}0.804{col 59}{space 4}-2.549885{col 72}{space 3} 1.976291
{txt}{space 12}time2 {c |}{col 19}{res}{space 2}-.0105308{col 31}{space 2} .5473091{col 42}{space 1}   -0.02{col 51}{space 3}0.985{col 59}{space 4}-1.083237{col 72}{space 3} 1.062175
{txt}{space 7}lnpop_1970 {c |}{col 19}{res}{space 2} .2663684{col 31}{space 2} .3605158{col 42}{space 1}    0.74{col 51}{space 3}0.460{col 59}{space 4}-.4402296{col 72}{space 3} .9729663
{txt}{space 5}vote_frejuli {c |}{col 19}{res}{space 2} .0377883{col 31}{space 2} .0185843{col 42}{space 1}    2.03{col 51}{space 3}0.042{col 59}{space 4} .0013637{col 72}{space 3} .0742128
{txt}{space 5}literacy_avg {c |}{col 19}{res}{space 2} 2.730112{col 31}{space 2} 4.656798{col 42}{space 1}    0.59{col 51}{space 3}0.558{col 59}{space 4}-6.397043{col 72}{space 3} 11.85727
{txt}{space 5}lnrebact1974 {c |}{col 19}{res}{space 2} .0880399{col 31}{space 2} .0963141{col 42}{space 1}    0.91{col 51}{space 3}0.361{col 59}{space 4}-.1007323{col 72}{space 3} .2768122
{txt}lnrepression70_77 {c |}{col 19}{res}{space 2} .8081742{col 31}{space 2} .2542539{col 42}{space 1}    3.18{col 51}{space 3}0.001{col 59}{space 4} .3098457{col 72}{space 3} 1.306503
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-13.27206{col 31}{space 2} 4.463605{col 42}{space 1}   -2.97{col 51}{space 3}0.003{col 59}{space 4}-22.02057{col 72}{space 3}-4.523559
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}/lnalpha {c |}{col 19}{res}{space 2}  1.28702{col 31}{space 2} .5223761{col 59}{space 4} .2631813{col 72}{space 3} 2.310858
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
            alpha {c |}{col 19}{res}{space 2} 3.621976{col 31}{space 2} 1.892034{col 59}{space 4} 1.301063{col 72}{space 3} 10.08307
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.                 
.         *Model 6
.         nbreg repression_w hostcitytime hostcitytime2 hostcity time time2 lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77 zone2-zone5, cluster(id)          

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-10746.501}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res: -9886.781}  (not concave)
Iteration 2:{space 3}log pseudolikelihood = {res:-9787.9132}  (not concave)
Iteration 3:{space 3}log pseudolikelihood = {res:-9474.9258}  (not concave)
Iteration 4:{space 3}log pseudolikelihood = {res:-9424.7681}  (not concave)
Iteration 5:{space 3}log pseudolikelihood = {res:-9171.7007}  (not concave)
Iteration 6:{space 3}log pseudolikelihood = {res:-8727.1858}  (not concave)
Iteration 7:{space 3}log pseudolikelihood = {res:-8053.5365}  (not concave)
Iteration 8:{space 3}log pseudolikelihood = {res:-7783.7383}  (not concave)
Iteration 9:{space 3}log pseudolikelihood = {res:-6942.4711}  
Iteration 10:{space 2}log pseudolikelihood = {res:-6780.1646}  (backed up)
Iteration 11:{space 2}log pseudolikelihood = {res:-5704.0963}  (backed up)
Iteration 12:{space 2}log pseudolikelihood = {res:-5578.7049}  (backed up)
Iteration 13:{space 2}log pseudolikelihood = {res:-5398.2076}  (backed up)
Iteration 14:{space 2}log pseudolikelihood = {res:-3450.8489}  (backed up)
Iteration 15:{space 2}log pseudolikelihood = {res:-1304.3064}  (backed up)
Iteration 16:{space 2}log pseudolikelihood = {res: -1148.628}  
Iteration 17:{space 2}log pseudolikelihood = {res:-748.53834}  
Iteration 18:{space 2}log pseudolikelihood = {res:-658.13266}  
Iteration 19:{space 2}log pseudolikelihood = {res:-655.45778}  
Iteration 20:{space 2}log pseudolikelihood = {res:-655.42708}  
Iteration 21:{space 2}log pseudolikelihood = {res:-655.42708}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1287.1957}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-894.75537}  
Iteration 2:{space 3}log pseudolikelihood = {res:-889.44636}  
Iteration 3:{space 3}log pseudolikelihood = {res:-889.44634}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-828.25099}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-746.02365}  
Iteration 2:{space 3}log pseudolikelihood = {res:-610.54514}  
Iteration 3:{space 3}log pseudolikelihood = {res:-594.75552}  
Iteration 4:{space 3}log pseudolikelihood = {res:-590.48497}  
Iteration 5:{space 3}log pseudolikelihood = {res:-590.26264}  
Iteration 6:{space 3}log pseudolikelihood = {res:-590.26249}  
Iteration 7:{space 3}log pseudolikelihood = {res:-590.26249}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     8,676
{txt}{col 49}Wald chi2({res}14{txt}){col 67}= {res}    446.46
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-590.26249{txt}{col 49}Pseudo R2{col 67}= {res}    0.3364

{txt}{ralign 83:(Std. Err. adjusted for {res:482} clusters in id)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}     repression_w{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}hostcitytime {c |}{col 19}{res}{space 2} 6.792803{col 31}{space 2}  1.99017{col 42}{space 1}    3.41{col 51}{space 3}0.001{col 59}{space 4} 2.892142{col 72}{space 3} 10.69346
{txt}{space 4}hostcitytime2 {c |}{col 19}{res}{space 2}-3.623981{col 31}{space 2} 1.006251{col 42}{space 1}   -3.60{col 51}{space 3}0.000{col 59}{space 4}-5.596198{col 72}{space 3}-1.651765
{txt}{space 9}hostcity {c |}{col 19}{res}{space 2}-2.000297{col 31}{space 2} .8612684{col 42}{space 1}   -2.32{col 51}{space 3}0.020{col 59}{space 4}-3.688352{col 72}{space 3}-.3122421
{txt}{space 13}time {c |}{col 19}{res}{space 2}-.3141278{col 31}{space 2} 1.196359{col 42}{space 1}   -0.26{col 51}{space 3}0.793{col 59}{space 4}-2.658949{col 72}{space 3} 2.030693
{txt}{space 12}time2 {c |}{col 19}{res}{space 2}  .002211{col 31}{space 2} .5602268{col 42}{space 1}    0.00{col 51}{space 3}0.997{col 59}{space 4}-1.095813{col 72}{space 3} 1.100235
{txt}{space 7}lnpop_1970 {c |}{col 19}{res}{space 2} .3121818{col 31}{space 2} .3732879{col 42}{space 1}    0.84{col 51}{space 3}0.403{col 59}{space 4}-.4194491{col 72}{space 3} 1.043813
{txt}{space 5}vote_frejuli {c |}{col 19}{res}{space 2} .0348526{col 31}{space 2} .0154482{col 42}{space 1}    2.26{col 51}{space 3}0.024{col 59}{space 4} .0045747{col 72}{space 3} .0651305
{txt}{space 5}literacy_avg {c |}{col 19}{res}{space 2}  1.27961{col 31}{space 2} 4.272171{col 42}{space 1}    0.30{col 51}{space 3}0.765{col 59}{space 4}-7.093691{col 72}{space 3} 9.652911
{txt}{space 5}lnrebact1974 {c |}{col 19}{res}{space 2}-.0481324{col 31}{space 2} .1232016{col 42}{space 1}   -0.39{col 51}{space 3}0.696{col 59}{space 4}-.2896031{col 72}{space 3} .1933382
{txt}lnrepression70_77 {c |}{col 19}{res}{space 2}  .759292{col 31}{space 2} .2834484{col 42}{space 1}    2.68{col 51}{space 3}0.007{col 59}{space 4} .2037434{col 72}{space 3} 1.314841
{txt}{space 12}zone2 {c |}{col 19}{res}{space 2}-2.117935{col 31}{space 2} .4687381{col 42}{space 1}   -4.52{col 51}{space 3}0.000{col 59}{space 4}-3.036644{col 72}{space 3}-1.199225
{txt}{space 12}zone3 {c |}{col 19}{res}{space 2}-.7260435{col 31}{space 2} .5905127{col 42}{space 1}   -1.23{col 51}{space 3}0.219{col 59}{space 4}-1.883427{col 72}{space 3} .4313402
{txt}{space 12}zone4 {c |}{col 19}{res}{space 2}-.4028614{col 31}{space 2} .2520788{col 42}{space 1}   -1.60{col 51}{space 3}0.110{col 59}{space 4}-.8969268{col 72}{space 3} .0912039
{txt}{space 12}zone5 {c |}{col 19}{res}{space 2}-.7706771{col 31}{space 2} .7829401{col 42}{space 1}   -0.98{col 51}{space 3}0.325{col 59}{space 4}-2.305212{col 72}{space 3} .7638573
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-11.35852{col 31}{space 2} 4.543487{col 42}{space 1}   -2.50{col 51}{space 3}0.012{col 59}{space 4}-20.26359{col 72}{space 3}-2.453449
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}/lnalpha {c |}{col 19}{res}{space 2} 1.113761{col 31}{space 2} .5948068{col 59}{space 4}-.0520385{col 72}{space 3} 2.279561
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
            alpha {c |}{col 19}{res}{space 2} 3.045793{col 31}{space 2} 1.811658{col 59}{space 4} .9492923{col 72}{space 3} 9.772391
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.                 
.         
.         
.         ****************************************************************************
.         *Table SI.4.13: Linear regression results with week-level data
.         ****************************************************************************            
.         
.         *Model 1
.         reg lnrepression_w hostcitytime hostcitytime2 hostcity time time2, robust       

{txt}Linear regression                               Number of obs     = {res}     8,982
                                                {txt}F(5, 8976)        =  {res}     8.60
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1381
                                                {txt}Root MSE          =    {res} .12609

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}lnrepressio~w{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}hostcitytime {c |}{col 15}{res}{space 2} 1.437069{col 27}{space 2} .5750335{col 38}{space 1}    2.50{col 47}{space 3}0.012{col 55}{space 4}  .309872{col 68}{space 3} 2.564266
{txt}hostcitytime2 {c |}{col 15}{res}{space 2}-.7884761{col 27}{space 2} .2746167{col 38}{space 1}   -2.87{col 47}{space 3}0.004{col 55}{space 4}-1.326788{col 68}{space 3}-.2501647
{txt}{space 5}hostcity {c |}{col 15}{res}{space 2} .0266214{col 27}{space 2} .2248233{col 38}{space 1}    0.12{col 47}{space 3}0.906{col 55}{space 4}-.4140836{col 68}{space 3} .4673264
{txt}{space 9}time {c |}{col 15}{res}{space 2} .0027461{col 27}{space 2} .0092432{col 38}{space 1}    0.30{col 47}{space 3}0.766{col 55}{space 4}-.0153727{col 68}{space 3} .0208649
{txt}{space 8}time2 {c |}{col 15}{res}{space 2}-.0025767{col 27}{space 2} .0043911{col 38}{space 1}   -0.59{col 47}{space 3}0.557{col 55}{space 4}-.0111841{col 68}{space 3} .0060308
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}  .010988{col 27}{space 2} .0041492{col 38}{space 1}    2.65{col 47}{space 3}0.008{col 55}{space 4} .0028547{col 68}{space 3} .0191213
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 
.         *Model 2
.         reg lnrepression_w hostcitytime hostcitytime2 hostcity time time2 lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77, robust   

{txt}Linear regression                               Number of obs     = {res}     8,676
                                                {txt}F(10, 8665)       =  {res}    13.36
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1947
                                                {txt}Root MSE          =    {res} .12385

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}   lnrepression_w{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}hostcitytime {c |}{col 19}{res}{space 2} 1.437598{col 31}{space 2} .5603992{col 42}{space 1}    2.57{col 51}{space 3}0.010{col 59}{space 4} .3390824{col 72}{space 3} 2.536114
{txt}{space 4}hostcitytime2 {c |}{col 19}{res}{space 2}-.7886748{col 31}{space 2} .2674209{col 42}{space 1}   -2.95{col 51}{space 3}0.003{col 59}{space 4}-1.312883{col 72}{space 3}-.2644663
{txt}{space 9}hostcity {c |}{col 19}{res}{space 2}-.0997292{col 31}{space 2} .2191567{col 42}{space 1}   -0.46{col 51}{space 3}0.649{col 59}{space 4}-.5293284{col 72}{space 3}   .32987
{txt}{space 13}time {c |}{col 19}{res}{space 2} .0022169{col 31}{space 2} .0091572{col 42}{space 1}    0.24{col 51}{space 3}0.809{col 59}{space 4}-.0157333{col 72}{space 3} .0201672
{txt}{space 12}time2 {c |}{col 19}{res}{space 2}-.0023779{col 31}{space 2} .0043847{col 42}{space 1}   -0.54{col 51}{space 3}0.588{col 59}{space 4}-.0109729{col 72}{space 3} .0062171
{txt}{space 7}lnpop_1970 {c |}{col 19}{res}{space 2} .0047859{col 31}{space 2} .0012902{col 42}{space 1}    3.71{col 51}{space 3}0.000{col 59}{space 4} .0022568{col 72}{space 3}  .007315
{txt}{space 5}vote_frejuli {c |}{col 19}{res}{space 2}-.0000708{col 31}{space 2} .0001139{col 42}{space 1}   -0.62{col 51}{space 3}0.534{col 59}{space 4} -.000294{col 72}{space 3} .0001524
{txt}{space 5}literacy_avg {c |}{col 19}{res}{space 2}-.0270216{col 31}{space 2} .0071487{col 42}{space 1}   -3.78{col 51}{space 3}0.000{col 59}{space 4}-.0410347{col 72}{space 3}-.0130084
{txt}{space 5}lnrebact1974 {c |}{col 19}{res}{space 2} .0002377{col 31}{space 2} .0007824{col 42}{space 1}    0.30{col 51}{space 3}0.761{col 59}{space 4}-.0012959{col 72}{space 3} .0017713
{txt}lnrepression70_77 {c |}{col 19}{res}{space 2} .0217357{col 31}{space 2} .0023655{col 42}{space 1}    9.19{col 51}{space 3}0.000{col 59}{space 4} .0170987{col 72}{space 3} .0263726
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-.0301219{col 31}{space 2} .0128491{col 42}{space 1}   -2.34{col 51}{space 3}0.019{col 59}{space 4}-.0553091{col 72}{space 3}-.0049347
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 
.         *Model 3
.         reg lnrepression_w hostcitytime hostcitytime2 hostcity time time2 lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77 zone2-zone5, robust                       

{txt}Linear regression                               Number of obs     = {res}     8,676
                                                {txt}F(14, 8661)       =  {res}    10.29
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2098
                                                {txt}Root MSE          =    {res} .12271

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}   lnrepression_w{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}hostcitytime {c |}{col 19}{res}{space 2} 1.437598{col 31}{space 2} .5448441{col 42}{space 1}    2.64{col 51}{space 3}0.008{col 59}{space 4} .3695742{col 72}{space 3} 2.505622
{txt}{space 4}hostcitytime2 {c |}{col 19}{res}{space 2}-.7886748{col 31}{space 2} .2600529{col 42}{space 1}   -3.03{col 51}{space 3}0.002{col 59}{space 4} -1.29844{col 72}{space 3}-.2789093
{txt}{space 9}hostcity {c |}{col 19}{res}{space 2}-.0999401{col 31}{space 2} .2122286{col 42}{space 1}   -0.47{col 51}{space 3}0.638{col 59}{space 4}-.5159586{col 72}{space 3} .3160783
{txt}{space 13}time {c |}{col 19}{res}{space 2} .0022169{col 31}{space 2}  .009159{col 42}{space 1}    0.24{col 51}{space 3}0.809{col 59}{space 4}-.0157368{col 72}{space 3} .0201707
{txt}{space 12}time2 {c |}{col 19}{res}{space 2}-.0023779{col 31}{space 2} .0043885{col 42}{space 1}   -0.54{col 51}{space 3}0.588{col 59}{space 4}-.0109804{col 72}{space 3} .0062245
{txt}{space 7}lnpop_1970 {c |}{col 19}{res}{space 2} .0155241{col 31}{space 2} .0024043{col 42}{space 1}    6.46{col 51}{space 3}0.000{col 59}{space 4}  .010811{col 72}{space 3} .0202372
{txt}{space 5}vote_frejuli {c |}{col 19}{res}{space 2} .0001335{col 31}{space 2} .0001531{col 42}{space 1}    0.87{col 51}{space 3}0.383{col 59}{space 4}-.0001666{col 72}{space 3} .0004336
{txt}{space 5}literacy_avg {c |}{col 19}{res}{space 2}-.1079462{col 31}{space 2} .0149357{col 42}{space 1}   -7.23{col 51}{space 3}0.000{col 59}{space 4}-.1372237{col 72}{space 3}-.0786687
{txt}{space 5}lnrebact1974 {c |}{col 19}{res}{space 2}-.0056918{col 31}{space 2} .0011422{col 42}{space 1}   -4.98{col 51}{space 3}0.000{col 59}{space 4}-.0079308{col 72}{space 3}-.0034528
{txt}lnrepression70_77 {c |}{col 19}{res}{space 2} .0172011{col 31}{space 2} .0023994{col 42}{space 1}    7.17{col 51}{space 3}0.000{col 59}{space 4} .0124978{col 72}{space 3} .0219044
{txt}{space 12}zone2 {c |}{col 19}{res}{space 2}-.0680608{col 31}{space 2} .0087343{col 42}{space 1}   -7.79{col 51}{space 3}0.000{col 59}{space 4}-.0851821{col 72}{space 3}-.0509395
{txt}{space 12}zone3 {c |}{col 19}{res}{space 2}-.0541112{col 31}{space 2}  .007398{col 42}{space 1}   -7.31{col 51}{space 3}0.000{col 59}{space 4}-.0686131{col 72}{space 3}-.0396093
{txt}{space 12}zone4 {c |}{col 19}{res}{space 2}-.0314236{col 31}{space 2}  .023631{col 42}{space 1}   -1.33{col 51}{space 3}0.184{col 59}{space 4}-.0777459{col 72}{space 3} .0148987
{txt}{space 12}zone5 {c |}{col 19}{res}{space 2}-.0419097{col 31}{space 2}  .005699{col 42}{space 1}   -7.35{col 51}{space 3}0.000{col 59}{space 4}-.0530812{col 72}{space 3}-.0307382
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-.0311338{col 31}{space 2} .0152926{col 42}{space 1}   -2.04{col 51}{space 3}0.042{col 59}{space 4}-.0611108{col 72}{space 3}-.0011568
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 
.         *Model 4
.         reg lnrepression_w hostcitytime hostcitytime2 hostcity time time2, cluster(id)          

{txt}Linear regression                               Number of obs     = {res}     8,982
                                                {txt}F(5, 498)         =  {res}    12.34
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1381
                                                {txt}Root MSE          =    {res} .12609

{txt}{ralign 79:(Std. Err. adjusted for {res:499} clusters in id)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}lnrepressio~w{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}hostcitytime {c |}{col 15}{res}{space 2} 1.437069{col 27}{space 2}  .465257{col 38}{space 1}    3.09{col 47}{space 3}0.002{col 55}{space 4} .5229604{col 68}{space 3} 2.351178
{txt}hostcitytime2 {c |}{col 15}{res}{space 2}-.7884761{col 27}{space 2} .2565939{col 38}{space 1}   -3.07{col 47}{space 3}0.002{col 55}{space 4}-1.292616{col 68}{space 3}-.2843361
{txt}{space 5}hostcity {c |}{col 15}{res}{space 2} .0266214{col 27}{space 2}  .119883{col 38}{space 1}    0.22{col 47}{space 3}0.824{col 55}{space 4}-.2089174{col 68}{space 3} .2621602
{txt}{space 9}time {c |}{col 15}{res}{space 2} .0027461{col 27}{space 2} .0076836{col 38}{space 1}    0.36{col 47}{space 3}0.721{col 55}{space 4}-.0123502{col 68}{space 3} .0178425
{txt}{space 8}time2 {c |}{col 15}{res}{space 2}-.0025767{col 27}{space 2} .0038707{col 38}{space 1}   -0.67{col 47}{space 3}0.506{col 55}{space 4}-.0101815{col 68}{space 3} .0050282
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}  .010988{col 27}{space 2} .0041203{col 38}{space 1}    2.67{col 47}{space 3}0.008{col 55}{space 4} .0028927{col 68}{space 3} .0190832
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 
.         *Model 5
.         reg lnrepression_w hostcitytime hostcitytime2 hostcity time time2 lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77, cluster(id)              

{txt}Linear regression                               Number of obs     = {res}     8,676
                                                {txt}F(10, 481)        =  {res}     7.17
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1947
                                                {txt}Root MSE          =    {res} .12385

{txt}{ralign 83:(Std. Err. adjusted for {res:482} clusters in id)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}   lnrepression_w{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}hostcitytime {c |}{col 19}{res}{space 2} 1.437598{col 31}{space 2} .4654164{col 42}{space 1}    3.09{col 51}{space 3}0.002{col 59}{space 4} .5230975{col 72}{space 3} 2.352099
{txt}{space 4}hostcitytime2 {c |}{col 19}{res}{space 2}-.7886748{col 31}{space 2} .2566815{col 42}{space 1}   -3.07{col 51}{space 3}0.002{col 59}{space 4} -1.29303{col 72}{space 3}-.2843193
{txt}{space 9}hostcity {c |}{col 19}{res}{space 2}-.0997292{col 31}{space 2} .1075341{col 42}{space 1}   -0.93{col 51}{space 3}0.354{col 59}{space 4}-.3110239{col 72}{space 3} .1115655
{txt}{space 13}time {c |}{col 19}{res}{space 2} .0022169{col 31}{space 2} .0079357{col 42}{space 1}    0.28{col 51}{space 3}0.780{col 59}{space 4} -.013376{col 72}{space 3} .0178099
{txt}{space 12}time2 {c |}{col 19}{res}{space 2}-.0023779{col 31}{space 2} .0039997{col 42}{space 1}   -0.59{col 51}{space 3}0.552{col 59}{space 4} -.010237{col 72}{space 3} .0054811
{txt}{space 7}lnpop_1970 {c |}{col 19}{res}{space 2} .0047859{col 31}{space 2} .0025824{col 42}{space 1}    1.85{col 51}{space 3}0.064{col 59}{space 4}-.0002883{col 72}{space 3} .0098601
{txt}{space 5}vote_frejuli {c |}{col 19}{res}{space 2}-.0000708{col 31}{space 2} .0002504{col 42}{space 1}   -0.28{col 51}{space 3}0.777{col 59}{space 4}-.0005628{col 72}{space 3} .0004211
{txt}{space 5}literacy_avg {c |}{col 19}{res}{space 2}-.0270216{col 31}{space 2} .0150473{col 42}{space 1}   -1.80{col 51}{space 3}0.073{col 59}{space 4}-.0565881{col 72}{space 3} .0025449
{txt}{space 5}lnrebact1974 {c |}{col 19}{res}{space 2} .0002377{col 31}{space 2} .0017063{col 42}{space 1}    0.14{col 51}{space 3}0.889{col 59}{space 4}-.0031149{col 72}{space 3} .0035903
{txt}lnrepression70_77 {c |}{col 19}{res}{space 2} .0217357{col 31}{space 2} .0042766{col 42}{space 1}    5.08{col 51}{space 3}0.000{col 59}{space 4} .0133325{col 72}{space 3} .0301388
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-.0301219{col 31}{space 2} .0256043{col 42}{space 1}   -1.18{col 51}{space 3}0.240{col 59}{space 4}-.0804321{col 72}{space 3} .0201883
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 
.         *Model 6
.         reg lnrepression_w hostcitytime hostcitytime2 hostcity time time2 lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77 zone2-zone5, cluster(id)                          

{txt}Linear regression                               Number of obs     = {res}     8,676
                                                {txt}F(14, 481)        =  {res}     6.25
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2098
                                                {txt}Root MSE          =    {res} .12271

{txt}{ralign 83:(Std. Err. adjusted for {res:482} clusters in id)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}   lnrepression_w{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}hostcitytime {c |}{col 19}{res}{space 2} 1.437598{col 31}{space 2} .4655239{col 42}{space 1}    3.09{col 51}{space 3}0.002{col 59}{space 4} .5228864{col 72}{space 3}  2.35231
{txt}{space 4}hostcitytime2 {c |}{col 19}{res}{space 2}-.7886748{col 31}{space 2} .2567408{col 42}{space 1}   -3.07{col 51}{space 3}0.002{col 59}{space 4}-1.293147{col 72}{space 3}-.2842028
{txt}{space 9}hostcity {c |}{col 19}{res}{space 2}-.0999401{col 31}{space 2} .0962068{col 42}{space 1}   -1.04{col 51}{space 3}0.299{col 59}{space 4}-.2889776{col 72}{space 3} .0890974
{txt}{space 13}time {c |}{col 19}{res}{space 2} .0022169{col 31}{space 2} .0079375{col 42}{space 1}    0.28{col 51}{space 3}0.780{col 59}{space 4}-.0133796{col 72}{space 3} .0178135
{txt}{space 12}time2 {c |}{col 19}{res}{space 2}-.0023779{col 31}{space 2} .0040006{col 42}{space 1}   -0.59{col 51}{space 3}0.553{col 59}{space 4}-.0102388{col 72}{space 3} .0054829
{txt}{space 7}lnpop_1970 {c |}{col 19}{res}{space 2} .0155241{col 31}{space 2} .0058359{col 42}{space 1}    2.66{col 51}{space 3}0.008{col 59}{space 4} .0040571{col 72}{space 3} .0269911
{txt}{space 5}vote_frejuli {c |}{col 19}{res}{space 2} .0001335{col 31}{space 2} .0003228{col 42}{space 1}    0.41{col 51}{space 3}0.679{col 59}{space 4}-.0005008{col 72}{space 3} .0007678
{txt}{space 5}literacy_avg {c |}{col 19}{res}{space 2}-.1079462{col 31}{space 2} .0398913{col 42}{space 1}   -2.71{col 51}{space 3}0.007{col 59}{space 4}-.1863288{col 72}{space 3}-.0295635
{txt}{space 5}lnrebact1974 {c |}{col 19}{res}{space 2}-.0056918{col 31}{space 2} .0032618{col 42}{space 1}   -1.75{col 51}{space 3}0.082{col 59}{space 4}-.0121009{col 72}{space 3} .0007173
{txt}lnrepression70_77 {c |}{col 19}{res}{space 2} .0172011{col 31}{space 2} .0039161{col 42}{space 1}    4.39{col 51}{space 3}0.000{col 59}{space 4} .0095064{col 72}{space 3} .0248958
{txt}{space 12}zone2 {c |}{col 19}{res}{space 2}-.0680608{col 31}{space 2} .0242461{col 42}{space 1}   -2.81{col 51}{space 3}0.005{col 59}{space 4}-.1157022{col 72}{space 3}-.0204194
{txt}{space 12}zone3 {c |}{col 19}{res}{space 2}-.0541112{col 31}{space 2} .0194276{col 42}{space 1}   -2.79{col 51}{space 3}0.006{col 59}{space 4}-.0922847{col 72}{space 3}-.0159377
{txt}{space 12}zone4 {c |}{col 19}{res}{space 2}-.0314236{col 31}{space 2} .0326888{col 42}{space 1}   -0.96{col 51}{space 3}0.337{col 59}{space 4}-.0956541{col 72}{space 3} .0328069
{txt}{space 12}zone5 {c |}{col 19}{res}{space 2}-.0419097{col 31}{space 2} .0160999{col 42}{space 1}   -2.60{col 51}{space 3}0.010{col 59}{space 4}-.0735445{col 72}{space 3}-.0102749
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-.0311338{col 31}{space 2} .0320611{col 42}{space 1}   -0.97{col 51}{space 3}0.332{col 59}{space 4} -.094131{col 72}{space 3} .0318634
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         
.         *Restoring data         
.         restore 
{txt}
{com}.         
.         
.         
.         ****************************************************************************
.         *Table SI.4.14: Regression results with controls for protest
.         ****************************************************************************            
.         
.         *Model 1
.         nbreg repression hostcitytime hostcitytime2 hostcity time time2 lnstrikes lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77, robust           

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-21095.601}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res: -14739.12}  (not concave)
Iteration 2:{space 3}log pseudolikelihood = {res:-12761.166}  (not concave)
Iteration 3:{space 3}log pseudolikelihood = {res:-11547.145}  (not concave)
Iteration 4:{space 3}log pseudolikelihood = {res:-10965.748}  
Iteration 5:{space 3}log pseudolikelihood = {res:-10485.102}  (backed up)
Iteration 6:{space 3}log pseudolikelihood = {res:-8840.4891}  (backed up)
Iteration 7:{space 3}log pseudolikelihood = {res:-8344.8965}  (backed up)
Iteration 8:{space 3}log pseudolikelihood = {res:-5899.1618}  
Iteration 9:{space 3}log pseudolikelihood = {res:-1280.2615}  
Iteration 10:{space 2}log pseudolikelihood = {res:-1154.1147}  
Iteration 11:{space 2}log pseudolikelihood = {res:-1122.6654}  
Iteration 12:{space 2}log pseudolikelihood = {res:-1122.3576}  
Iteration 13:{space 2}log pseudolikelihood = {res:-1122.3573}  
Iteration 14:{space 2}log pseudolikelihood = {res:-1122.3573}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -1829.657}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1488.4935}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1487.9062}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1487.9059}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1487.9059}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -1386.899}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1285.0657}  (not concave)
Iteration 2:{space 3}log pseudolikelihood = {res:-1119.7776}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1054.4557}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1042.6778}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1031.0328}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1027.5561}  
Iteration 7:{space 3}log pseudolikelihood = {res:-1027.5265}  
Iteration 8:{space 3}log pseudolikelihood = {res:-1027.5265}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}    56,394
{txt}{col 49}Wald chi2({res}11{txt}){col 67}= {res}    588.50
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1027.5265{txt}{col 49}Pseudo R2{col 67}= {res}    0.3094

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}       repression{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}hostcitytime {c |}{col 19}{res}{space 2} 7.345648{col 31}{space 2} 2.015706{col 42}{space 1}    3.64{col 51}{space 3}0.000{col 59}{space 4} 3.394937{col 72}{space 3} 11.29636
{txt}{space 4}hostcitytime2 {c |}{col 19}{res}{space 2}-5.942071{col 31}{space 2} 1.608516{col 42}{space 1}   -3.69{col 51}{space 3}0.000{col 59}{space 4}-9.094703{col 72}{space 3}-2.789438
{txt}{space 9}hostcity {c |}{col 19}{res}{space 2}-1.493365{col 31}{space 2} .6223813{col 42}{space 1}   -2.40{col 51}{space 3}0.016{col 59}{space 4} -2.71321{col 72}{space 3}-.2735203
{txt}{space 13}time {c |}{col 19}{res}{space 2}-2.016901{col 31}{space 2} 1.234677{col 42}{space 1}   -1.63{col 51}{space 3}0.102{col 59}{space 4}-4.436823{col 72}{space 3} .4030205
{txt}{space 12}time2 {c |}{col 19}{res}{space 2}  1.45764{col 31}{space 2} .9844305{col 42}{space 1}    1.48{col 51}{space 3}0.139{col 59}{space 4}-.4718083{col 72}{space 3} 3.387088
{txt}{space 8}lnstrikes {c |}{col 19}{res}{space 2} .1605456{col 31}{space 2} .2224901{col 42}{space 1}    0.72{col 51}{space 3}0.471{col 59}{space 4} -.275527{col 72}{space 3} .5966181
{txt}{space 7}lnpop_1970 {c |}{col 19}{res}{space 2} .3508135{col 31}{space 2} .2787355{col 42}{space 1}    1.26{col 51}{space 3}0.208{col 59}{space 4}-.1954979{col 72}{space 3}  .897125
{txt}{space 5}vote_frejuli {c |}{col 19}{res}{space 2} .0326998{col 31}{space 2} .0134801{col 42}{space 1}    2.43{col 51}{space 3}0.015{col 59}{space 4} .0062793{col 72}{space 3} .0591204
{txt}{space 5}literacy_avg {c |}{col 19}{res}{space 2} 1.951222{col 31}{space 2} 3.662529{col 42}{space 1}    0.53{col 51}{space 3}0.594{col 59}{space 4}-5.227202{col 72}{space 3} 9.129647
{txt}{space 5}lnrebact1974 {c |}{col 19}{res}{space 2} .1101593{col 31}{space 2} .0781536{col 42}{space 1}    1.41{col 51}{space 3}0.159{col 59}{space 4} -.043019{col 72}{space 3} .2633375
{txt}lnrepression70_77 {c |}{col 19}{res}{space 2} .7576072{col 31}{space 2}   .18484{col 42}{space 1}    4.10{col 51}{space 3}0.000{col 59}{space 4} .3953276{col 72}{space 3} 1.119887
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-14.87502{col 31}{space 2} 3.561834{col 42}{space 1}   -4.18{col 51}{space 3}0.000{col 59}{space 4}-21.85608{col 72}{space 3}-7.893954
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}/lnalpha {c |}{col 19}{res}{space 2} 1.963722{col 31}{space 2} .3106242{col 59}{space 4} 1.354909{col 72}{space 3} 2.572534
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
            alpha {c |}{col 19}{res}{space 2} 7.125798{col 31}{space 2} 2.213445{col 59}{space 4}  3.87641{col 72}{space 3} 13.09897
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         
.         *Model 2        
.         nbreg repression hostcitytime hostcitytime2 hostcity time time2 lnlag_strikes lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77, robust       

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-26146.823}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-18675.608}  (not concave)
Iteration 2:{space 3}log pseudolikelihood = {res:-17222.522}  (not concave)
Iteration 3:{space 3}log pseudolikelihood = {res:-16787.544}  (not concave)
Iteration 4:{space 3}log pseudolikelihood = {res:-13058.135}  (not concave)
Iteration 5:{space 3}log pseudolikelihood = {res:-11448.093}  (not concave)
Iteration 6:{space 3}log pseudolikelihood = {res:-11059.564}  (not concave)
Iteration 7:{space 3}log pseudolikelihood = {res:-10646.709}  (not concave)
Iteration 8:{space 3}log pseudolikelihood = {res:-6019.8852}  
Iteration 9:{space 3}log pseudolikelihood = {res:-5620.3414}  (backed up)
Iteration 10:{space 2}log pseudolikelihood = {res:-2839.6842}  (backed up)
Iteration 11:{space 2}log pseudolikelihood = {res:-2045.1765}  
Iteration 12:{space 2}log pseudolikelihood = {res:-1457.4521}  
Iteration 13:{space 2}log pseudolikelihood = {res:-1223.7215}  
Iteration 14:{space 2}log pseudolikelihood = {res:-1116.0665}  
Iteration 15:{space 2}log pseudolikelihood = {res:-1102.6136}  
Iteration 16:{space 2}log pseudolikelihood = {res:-1102.5437}  
Iteration 17:{space 2}log pseudolikelihood = {res:-1102.5436}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -1829.657}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1488.4935}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1487.9062}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1487.9059}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1487.9059}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1379.8884}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1276.9281}  (not concave)
Iteration 2:{space 3}log pseudolikelihood = {res:-1114.3515}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1053.0611}  (not concave)
Iteration 4:{space 3}log pseudolikelihood = {res:-1025.5329}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1019.7486}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1019.5415}  
Iteration 7:{space 3}log pseudolikelihood = {res:-1019.5412}  
Iteration 8:{space 3}log pseudolikelihood = {res:-1019.5412}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}    56,394
{txt}{col 49}Wald chi2({res}11{txt}){col 67}= {res}    708.57
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1019.5412{txt}{col 49}Pseudo R2{col 67}= {res}    0.3148

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}       repression{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}hostcitytime {c |}{col 19}{res}{space 2}  5.77206{col 31}{space 2} 2.090159{col 42}{space 1}    2.76{col 51}{space 3}0.006{col 59}{space 4} 1.675424{col 72}{space 3} 9.868697
{txt}{space 4}hostcitytime2 {c |}{col 19}{res}{space 2}-5.123693{col 31}{space 2} 1.656502{col 42}{space 1}   -3.09{col 51}{space 3}0.002{col 59}{space 4}-8.370377{col 72}{space 3}-1.877008
{txt}{space 9}hostcity {c |}{col 19}{res}{space 2}-.9833874{col 31}{space 2} .6326846{col 42}{space 1}   -1.55{col 51}{space 3}0.120{col 59}{space 4}-2.223426{col 72}{space 3} .2566516
{txt}{space 13}time {c |}{col 19}{res}{space 2}-2.562702{col 31}{space 2} 1.203203{col 42}{space 1}   -2.13{col 51}{space 3}0.033{col 59}{space 4}-4.920936{col 72}{space 3}-.2044675
{txt}{space 12}time2 {c |}{col 19}{res}{space 2} 1.768484{col 31}{space 2} .9611616{col 42}{space 1}    1.84{col 51}{space 3}0.066{col 59}{space 4}-.1153585{col 72}{space 3} 3.652326
{txt}{space 4}lnlag_strikes {c |}{col 19}{res}{space 2} .7795458{col 31}{space 2} .2064488{col 42}{space 1}    3.78{col 51}{space 3}0.000{col 59}{space 4} .3749136{col 72}{space 3} 1.184178
{txt}{space 7}lnpop_1970 {c |}{col 19}{res}{space 2}  .228661{col 31}{space 2}  .247674{col 42}{space 1}    0.92{col 51}{space 3}0.356{col 59}{space 4}-.2567711{col 72}{space 3} .7140931
{txt}{space 5}vote_frejuli {c |}{col 19}{res}{space 2} .0332674{col 31}{space 2} .0128763{col 42}{space 1}    2.58{col 51}{space 3}0.010{col 59}{space 4} .0080304{col 72}{space 3} .0585044
{txt}{space 5}literacy_avg {c |}{col 19}{res}{space 2} 2.523777{col 31}{space 2} 3.535138{col 42}{space 1}    0.71{col 51}{space 3}0.475{col 59}{space 4}-4.404966{col 72}{space 3}  9.45252
{txt}{space 5}lnrebact1974 {c |}{col 19}{res}{space 2} .1207005{col 31}{space 2} .0811181{col 42}{space 1}    1.49{col 51}{space 3}0.137{col 59}{space 4}-.0382879{col 72}{space 3}  .279689
{txt}lnrepression70_77 {c |}{col 19}{res}{space 2} .7683354{col 31}{space 2} .1730385{col 42}{space 1}    4.44{col 51}{space 3}0.000{col 59}{space 4} .4291863{col 72}{space 3} 1.107485
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-13.92221{col 31}{space 2}  3.42887{col 42}{space 1}   -4.06{col 51}{space 3}0.000{col 59}{space 4}-20.64267{col 72}{space 3}-7.201748
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}/lnalpha {c |}{col 19}{res}{space 2} 1.842235{col 31}{space 2} .3132593{col 59}{space 4} 1.228258{col 72}{space 3} 2.456212
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
            alpha {c |}{col 19}{res}{space 2} 6.310626{col 31}{space 2} 1.976862{col 59}{space 4} 3.415275{col 72}{space 3} 11.66056
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         
.         *Model 3
.         nbreg repression hostcitytime hostcitytime2 hostcity time time2 lnlag2_strikes lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77, robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-17729.026}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-12727.148}  (not concave)
Iteration 2:{space 3}log pseudolikelihood = {res:-11036.211}  (not concave)
Iteration 3:{space 3}log pseudolikelihood = {res:-9933.9958}  (not concave)
Iteration 4:{space 3}log pseudolikelihood = {res:-9381.2352}  (not concave)
Iteration 5:{space 3}log pseudolikelihood = {res:-9006.2714}  (not concave)
Iteration 6:{space 3}log pseudolikelihood = {res:-8131.1768}  (not concave)
Iteration 7:{space 3}log pseudolikelihood = {res:-7520.6493}  (not concave)
Iteration 8:{space 3}log pseudolikelihood = {res:-7170.1781}  (not concave)
Iteration 9:{space 3}log pseudolikelihood = {res:-6796.8629}  (not concave)
Iteration 10:{space 2}log pseudolikelihood = {res:-6584.5313}  (not concave)
Iteration 11:{space 2}log pseudolikelihood = {res:-6320.0443}  (not concave)
Iteration 12:{space 2}log pseudolikelihood = {res:-5525.3508}  
Iteration 13:{space 2}log pseudolikelihood = {res:-4828.1055}  (backed up)
Iteration 14:{space 2}log pseudolikelihood = {res:-3240.7827}  
Iteration 15:{space 2}log pseudolikelihood = {res:-2415.9652}  
Iteration 16:{space 2}log pseudolikelihood = {res:-1392.8439}  
Iteration 17:{space 2}log pseudolikelihood = {res:-1132.6687}  
Iteration 18:{space 2}log pseudolikelihood = {res:-1119.2717}  
Iteration 19:{space 2}log pseudolikelihood = {res:-1118.8975}  
Iteration 20:{space 2}log pseudolikelihood = {res: -1118.897}  
Iteration 21:{space 2}log pseudolikelihood = {res: -1118.897}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -1829.657}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1488.4935}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1487.9062}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1487.9059}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1487.9059}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1383.9949}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1282.9511}  (not concave)
Iteration 2:{space 3}log pseudolikelihood = {res:-1118.8172}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1054.2738}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1039.8394}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1027.4604}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1026.0369}  
Iteration 7:{space 3}log pseudolikelihood = {res:-1026.0282}  
Iteration 8:{space 3}log pseudolikelihood = {res:-1026.0282}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}    56,394
{txt}{col 49}Wald chi2({res}11{txt}){col 67}= {res}    613.15
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1026.0282{txt}{col 49}Pseudo R2{col 67}= {res}    0.3104

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}       repression{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}hostcitytime {c |}{col 19}{res}{space 2} 8.777384{col 31}{space 2} 2.133378{col 42}{space 1}    4.11{col 51}{space 3}0.000{col 59}{space 4} 4.596041{col 72}{space 3} 12.95873
{txt}{space 4}hostcitytime2 {c |}{col 19}{res}{space 2}-7.212617{col 31}{space 2} 1.680306{col 42}{space 1}   -4.29{col 51}{space 3}0.000{col 59}{space 4}-10.50596{col 72}{space 3}-3.919278
{txt}{space 9}hostcity {c |}{col 19}{res}{space 2}-1.816909{col 31}{space 2} .6379898{col 42}{space 1}   -2.85{col 51}{space 3}0.004{col 59}{space 4}-3.067346{col 72}{space 3}-.5664719
{txt}{space 13}time {c |}{col 19}{res}{space 2}-1.717414{col 31}{space 2} 1.216695{col 42}{space 1}   -1.41{col 51}{space 3}0.158{col 59}{space 4}-4.102093{col 72}{space 3} .6672649
{txt}{space 12}time2 {c |}{col 19}{res}{space 2} 1.110673{col 31}{space 2} .9695859{col 42}{space 1}    1.15{col 51}{space 3}0.252{col 59}{space 4}  -.78968{col 72}{space 3} 3.011027
{txt}{space 3}lnlag2_strikes {c |}{col 19}{res}{space 2} .4009162{col 31}{space 2} .1964532{col 42}{space 1}    2.04{col 51}{space 3}0.041{col 59}{space 4} .0158751{col 72}{space 3} .7859573
{txt}{space 7}lnpop_1970 {c |}{col 19}{res}{space 2}  .308614{col 31}{space 2} .2658715{col 42}{space 1}    1.16{col 51}{space 3}0.246{col 59}{space 4}-.2124845{col 72}{space 3} .8297125
{txt}{space 5}vote_frejuli {c |}{col 19}{res}{space 2} .0331347{col 31}{space 2} .0134217{col 42}{space 1}    2.47{col 51}{space 3}0.014{col 59}{space 4} .0068286{col 72}{space 3} .0594408
{txt}{space 5}literacy_avg {c |}{col 19}{res}{space 2} 2.225285{col 31}{space 2} 3.625262{col 42}{space 1}    0.61{col 51}{space 3}0.539{col 59}{space 4}-4.880097{col 72}{space 3} 9.330667
{txt}{space 5}lnrebact1974 {c |}{col 19}{res}{space 2} .1127083{col 31}{space 2} .0789843{col 42}{space 1}    1.43{col 51}{space 3}0.154{col 59}{space 4}-.0420981{col 72}{space 3} .2675147
{txt}lnrepression70_77 {c |}{col 19}{res}{space 2} .7607608{col 31}{space 2} .1803646{col 42}{space 1}    4.22{col 51}{space 3}0.000{col 59}{space 4} .4072527{col 72}{space 3} 1.114269
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-14.68408{col 31}{space 2} 3.524958{col 42}{space 1}   -4.17{col 51}{space 3}0.000{col 59}{space 4}-21.59287{col 72}{space 3} -7.77529
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}/lnalpha {c |}{col 19}{res}{space 2}  1.93899{col 31}{space 2} .3103204{col 59}{space 4} 1.330773{col 72}{space 3} 2.547207
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
            alpha {c |}{col 19}{res}{space 2} 6.951727{col 31}{space 2} 2.157263{col 59}{space 4} 3.783968{col 72}{space 3} 12.77138
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         
.         *Model 4
.         nbreg repression hostcitytime hostcitytime2 hostcity time time2 lnstrikes lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77 zone2-zone5, robust               

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-21235.435}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res: -21023.08}  (not concave)
Iteration 2:{space 3}log pseudolikelihood = {res:-19629.755}  (not concave)
Iteration 3:{space 3}log pseudolikelihood = {res: -18588.97}  (not concave)
Iteration 4:{space 3}log pseudolikelihood = {res:-17022.602}  (not concave)
Iteration 5:{space 3}log pseudolikelihood = {res:-16950.887}  (not concave)
Iteration 6:{space 3}log pseudolikelihood = {res:-16893.854}  (not concave)
Iteration 7:{space 3}log pseudolikelihood = {res:-16871.412}  (not concave)
Iteration 8:{space 3}log pseudolikelihood = {res:-16803.944}  (not concave)
Iteration 9:{space 3}log pseudolikelihood = {res:-16491.197}  (not concave)
Iteration 10:{space 2}log pseudolikelihood = {res:-15741.613}  (not concave)
Iteration 11:{space 2}log pseudolikelihood = {res:-14567.815}  
Iteration 12:{space 2}log pseudolikelihood = {res:-12709.601}  (backed up)
Iteration 13:{space 2}log pseudolikelihood = {res:-8693.6986}  
Iteration 14:{space 2}log pseudolikelihood = {res:-7495.5359}  
Iteration 15:{space 2}log pseudolikelihood = {res:-1600.0609}  
Iteration 16:{space 2}log pseudolikelihood = {res:-1284.4677}  
Iteration 17:{space 2}log pseudolikelihood = {res:-1101.1498}  
Iteration 18:{space 2}log pseudolikelihood = {res:-1094.5076}  
Iteration 19:{space 2}log pseudolikelihood = {res:-1094.3933}  
Iteration 20:{space 2}log pseudolikelihood = {res:-1094.3933}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -1829.657}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1488.4935}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1487.9062}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1487.9059}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1487.9059}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1381.2096}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1268.4257}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1039.4664}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1014.7991}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1011.1481}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1011.0837}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1011.0837}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}    56,394
{txt}{col 49}Wald chi2({res}15{txt}){col 67}= {res}    748.84
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1011.0837{txt}{col 49}Pseudo R2{col 67}= {res}    0.3205

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}       repression{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}hostcitytime {c |}{col 19}{res}{space 2} 8.640847{col 31}{space 2} 1.995461{col 42}{space 1}    4.33{col 51}{space 3}0.000{col 59}{space 4} 4.729815{col 72}{space 3} 12.55188
{txt}{space 4}hostcitytime2 {c |}{col 19}{res}{space 2}-7.211553{col 31}{space 2} 1.614978{col 42}{space 1}   -4.47{col 51}{space 3}0.000{col 59}{space 4}-10.37685{col 72}{space 3}-4.046255
{txt}{space 9}hostcity {c |}{col 19}{res}{space 2}-1.430253{col 31}{space 2} .6067979{col 42}{space 1}   -2.36{col 51}{space 3}0.018{col 59}{space 4}-2.619555{col 72}{space 3}-.2409506
{txt}{space 13}time {c |}{col 19}{res}{space 2}-1.797037{col 31}{space 2}  1.24573{col 42}{space 1}   -1.44{col 51}{space 3}0.149{col 59}{space 4}-4.238623{col 72}{space 3} .6445492
{txt}{space 12}time2 {c |}{col 19}{res}{space 2} 1.245543{col 31}{space 2} .9915832{col 42}{space 1}    1.26{col 51}{space 3}0.209{col 59}{space 4}-.6979241{col 72}{space 3} 3.189011
{txt}{space 8}lnstrikes {c |}{col 19}{res}{space 2}-.2572529{col 31}{space 2} .2717038{col 42}{space 1}   -0.95{col 51}{space 3}0.344{col 59}{space 4}-.7897826{col 72}{space 3} .2752768
{txt}{space 7}lnpop_1970 {c |}{col 19}{res}{space 2} .4101312{col 31}{space 2} .2847056{col 42}{space 1}    1.44{col 51}{space 3}0.150{col 59}{space 4}-.1478816{col 72}{space 3} .9681439
{txt}{space 5}vote_frejuli {c |}{col 19}{res}{space 2} .0392078{col 31}{space 2} .0131651{col 42}{space 1}    2.98{col 51}{space 3}0.003{col 59}{space 4} .0134046{col 72}{space 3} .0650109
{txt}{space 5}literacy_avg {c |}{col 19}{res}{space 2} 1.048973{col 31}{space 2} 3.329918{col 42}{space 1}    0.32{col 51}{space 3}0.753{col 59}{space 4}-5.477546{col 72}{space 3} 7.575493
{txt}{space 5}lnrebact1974 {c |}{col 19}{res}{space 2}-.0973186{col 31}{space 2}  .079808{col 42}{space 1}   -1.22{col 51}{space 3}0.223{col 59}{space 4}-.2537394{col 72}{space 3} .0591023
{txt}lnrepression70_77 {c |}{col 19}{res}{space 2} .7015713{col 31}{space 2} .2058771{col 42}{space 1}    3.41{col 51}{space 3}0.001{col 59}{space 4} .2980597{col 72}{space 3} 1.105083
{txt}{space 12}zone2 {c |}{col 19}{res}{space 2}-2.242851{col 31}{space 2} .4390333{col 42}{space 1}   -5.11{col 51}{space 3}0.000{col 59}{space 4} -3.10334{col 72}{space 3}-1.382361
{txt}{space 12}zone3 {c |}{col 19}{res}{space 2}-1.080944{col 31}{space 2} .3023448{col 42}{space 1}   -3.58{col 51}{space 3}0.000{col 59}{space 4}-1.673529{col 72}{space 3} -.488359
{txt}{space 12}zone4 {c |}{col 19}{res}{space 2}-.3757217{col 31}{space 2} .2653913{col 42}{space 1}   -1.42{col 51}{space 3}0.157{col 59}{space 4} -.895879{col 72}{space 3} .1444356
{txt}{space 12}zone5 {c |}{col 19}{res}{space 2}-.9927612{col 31}{space 2} .4749183{col 42}{space 1}   -2.09{col 51}{space 3}0.037{col 59}{space 4}-1.923584{col 72}{space 3}-.0619384
{txt}{space 12}_cons {c |}{col 19}{res}{space 2} -13.7256{col 31}{space 2} 3.629285{col 42}{space 1}   -3.78{col 51}{space 3}0.000{col 59}{space 4}-20.83887{col 72}{space 3}-6.612336
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}/lnalpha {c |}{col 19}{res}{space 2} 1.785787{col 31}{space 2} .3156066{col 59}{space 4}  1.16721{col 72}{space 3} 2.404365
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
            alpha {c |}{col 19}{res}{space 2} 5.964273{col 31}{space 2} 1.882364{col 59}{space 4} 3.213015{col 72}{space 3}  11.0714
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         
.         *Model 5
.         nbreg repression hostcitytime hostcitytime2 hostcity time time2 lnlag_strikes lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77 zone2-zone5, robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-26538.136}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-26272.754}  (not concave)
Iteration 2:{space 3}log pseudolikelihood = {res:-25747.299}  (not concave)
Iteration 3:{space 3}log pseudolikelihood = {res:-24099.472}  (not concave)
Iteration 4:{space 3}log pseudolikelihood = {res:-21632.474}  (not concave)
Iteration 5:{space 3}log pseudolikelihood = {res:-21524.508}  (not concave)
Iteration 6:{space 3}log pseudolikelihood = {res:-21438.713}  (not concave)
Iteration 7:{space 3}log pseudolikelihood = {res:-21208.726}  (not concave)
Iteration 8:{space 3}log pseudolikelihood = {res:-21043.373}  (not concave)
Iteration 9:{space 3}log pseudolikelihood = {res:-20822.626}  (not concave)
Iteration 10:{space 2}log pseudolikelihood = {res:-19546.177}  (not concave)
Iteration 11:{space 2}log pseudolikelihood = {res:-18924.583}  (not concave)
Iteration 12:{space 2}log pseudolikelihood = {res:-18527.477}  (not concave)
Iteration 13:{space 2}log pseudolikelihood = {res:-13571.541}  (not concave)
Iteration 14:{space 2}log pseudolikelihood = {res:-12485.818}  
Iteration 15:{space 2}log pseudolikelihood = {res:-11969.494}  (backed up)
Iteration 16:{space 2}log pseudolikelihood = {res:-11862.436}  (backed up)
Iteration 17:{space 2}log pseudolikelihood = {res:-11632.574}  (backed up)
Iteration 18:{space 2}log pseudolikelihood = {res:-10617.292}  (backed up)
Iteration 19:{space 2}log pseudolikelihood = {res: -9167.852}  (backed up)
Iteration 20:{space 2}log pseudolikelihood = {res: -7556.591}  (backed up)
Iteration 21:{space 2}log pseudolikelihood = {res:-6153.1515}  (backed up)
Iteration 22:{space 2}log pseudolikelihood = {res:-1853.6982}  (backed up)
Iteration 23:{space 2}log pseudolikelihood = {res:-1302.8965}  
Iteration 24:{space 2}log pseudolikelihood = {res:-1220.0875}  
Iteration 25:{space 2}log pseudolikelihood = {res:-1096.3588}  
Iteration 26:{space 2}log pseudolikelihood = {res:-1088.6609}  
Iteration 27:{space 2}log pseudolikelihood = {res:-1088.3286}  
Iteration 28:{space 2}log pseudolikelihood = {res:-1088.3272}  
Iteration 29:{space 2}log pseudolikelihood = {res:-1088.3272}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -1829.657}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1488.4935}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1487.9062}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1487.9059}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1487.9059}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1377.1842}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1243.3088}  
Iteration 2:{space 3}log pseudolikelihood = {res: -1028.423}  
Iteration 3:{space 3}log pseudolikelihood = {res: -1011.263}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1008.4116}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1008.4019}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1008.4019}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}    56,394
{txt}{col 49}Wald chi2({res}15{txt}){col 67}= {res}    842.66
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1008.4019{txt}{col 49}Pseudo R2{col 67}= {res}    0.3223

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}       repression{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}hostcitytime {c |}{col 19}{res}{space 2} 6.981891{col 31}{space 2} 2.186935{col 42}{space 1}    3.19{col 51}{space 3}0.001{col 59}{space 4} 2.695576{col 72}{space 3} 11.26821
{txt}{space 4}hostcitytime2 {c |}{col 19}{res}{space 2} -6.04557{col 31}{space 2} 1.725174{col 42}{space 1}   -3.50{col 51}{space 3}0.000{col 59}{space 4} -9.42685{col 72}{space 3}-2.664291
{txt}{space 9}hostcity {c |}{col 19}{res}{space 2}-1.128775{col 31}{space 2} .6433517{col 42}{space 1}   -1.75{col 51}{space 3}0.079{col 59}{space 4}-2.389721{col 72}{space 3} .1321714
{txt}{space 13}time {c |}{col 19}{res}{space 2}-2.346452{col 31}{space 2} 1.226003{col 42}{space 1}   -1.91{col 51}{space 3}0.056{col 59}{space 4}-4.749373{col 72}{space 3} .0564687
{txt}{space 12}time2 {c |}{col 19}{res}{space 2} 1.629315{col 31}{space 2} .9682009{col 42}{space 1}    1.68{col 51}{space 3}0.092{col 59}{space 4}-.2683237{col 72}{space 3} 3.526954
{txt}{space 4}lnlag_strikes {c |}{col 19}{res}{space 2} .5345569{col 31}{space 2}  .246442{col 42}{space 1}    2.17{col 51}{space 3}0.030{col 59}{space 4} .0515394{col 72}{space 3} 1.017574
{txt}{space 7}lnpop_1970 {c |}{col 19}{res}{space 2} .2778224{col 31}{space 2} .2495316{col 42}{space 1}    1.11{col 51}{space 3}0.266{col 59}{space 4}-.2112506{col 72}{space 3} .7668954
{txt}{space 5}vote_frejuli {c |}{col 19}{res}{space 2} .0339457{col 31}{space 2} .0125416{col 42}{space 1}    2.71{col 51}{space 3}0.007{col 59}{space 4} .0093646{col 72}{space 3} .0585269
{txt}{space 5}literacy_avg {c |}{col 19}{res}{space 2} 1.449185{col 31}{space 2} 3.373181{col 42}{space 1}    0.43{col 51}{space 3}0.667{col 59}{space 4}-5.162128{col 72}{space 3} 8.060498
{txt}{space 5}lnrebact1974 {c |}{col 19}{res}{space 2}-.0066506{col 31}{space 2} .0817447{col 42}{space 1}   -0.08{col 51}{space 3}0.935{col 59}{space 4}-.1668672{col 72}{space 3}  .153566
{txt}lnrepression70_77 {c |}{col 19}{res}{space 2} .7203359{col 31}{space 2}  .183666{col 42}{space 1}    3.92{col 51}{space 3}0.000{col 59}{space 4} .3603572{col 72}{space 3} 1.080315
{txt}{space 12}zone2 {c |}{col 19}{res}{space 2}-1.778866{col 31}{space 2} .4361457{col 42}{space 1}   -4.08{col 51}{space 3}0.000{col 59}{space 4}-2.633695{col 72}{space 3}-.9240357
{txt}{space 12}zone3 {c |}{col 19}{res}{space 2}-.6951019{col 31}{space 2} .2841295{col 42}{space 1}   -2.45{col 51}{space 3}0.014{col 59}{space 4}-1.251985{col 72}{space 3}-.1382183
{txt}{space 12}zone4 {c |}{col 19}{res}{space 2}-.4213349{col 31}{space 2} .2643752{col 42}{space 1}   -1.59{col 51}{space 3}0.111{col 59}{space 4}-.9395007{col 72}{space 3} .0968309
{txt}{space 12}zone5 {c |}{col 19}{res}{space 2}-.8242429{col 31}{space 2} .4784036{col 42}{space 1}   -1.72{col 51}{space 3}0.085{col 59}{space 4}-1.761897{col 72}{space 3} .1134109
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-12.65936{col 31}{space 2} 3.492309{col 42}{space 1}   -3.62{col 51}{space 3}0.000{col 59}{space 4}-19.50416{col 72}{space 3}-5.814557
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}/lnalpha {c |}{col 19}{res}{space 2} 1.766194{col 31}{space 2} .3068366{col 59}{space 4} 1.164806{col 72}{space 3} 2.367583
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
            alpha {c |}{col 19}{res}{space 2} 5.848553{col 31}{space 2}  1.79455{col 59}{space 4}   3.2053{col 72}{space 3} 10.67157
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         
.         *Model 6        
.         nbreg repression hostcitytime hostcitytime2 hostcity time time2 lnlag2_strikes lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77 zone2-zone5, robust          

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-18013.101}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res: -17832.97}  (not concave)
Iteration 2:{space 3}log pseudolikelihood = {res:-16862.271}  (not concave)
Iteration 3:{space 3}log pseudolikelihood = {res:-16678.699}  (not concave)
Iteration 4:{space 3}log pseudolikelihood = {res:-16097.666}  (not concave)
Iteration 5:{space 3}log pseudolikelihood = {res:-16041.624}  (not concave)
Iteration 6:{space 3}log pseudolikelihood = {res: -15953.18}  (not concave)
Iteration 7:{space 3}log pseudolikelihood = {res:-15674.281}  (not concave)
Iteration 8:{space 3}log pseudolikelihood = {res: -15576.92}  (not concave)
Iteration 9:{space 3}log pseudolikelihood = {res:-15251.851}  (not concave)
Iteration 10:{space 2}log pseudolikelihood = {res:-14778.026}  (not concave)
Iteration 11:{space 2}log pseudolikelihood = {res:-13585.035}  (not concave)
Iteration 12:{space 2}log pseudolikelihood = {res:-9870.2377}  
Iteration 13:{space 2}log pseudolikelihood = {res:-7406.5334}  (backed up)
Iteration 14:{space 2}log pseudolikelihood = {res:-6916.3697}  (backed up)
Iteration 15:{space 2}log pseudolikelihood = {res:-5967.4352}  (backed up)
Iteration 16:{space 2}log pseudolikelihood = {res:-2919.4888}  (backed up)
Iteration 17:{space 2}log pseudolikelihood = {res: -1741.914}  (backed up)
Iteration 18:{space 2}log pseudolikelihood = {res:-1160.7598}  
Iteration 19:{space 2}log pseudolikelihood = {res:-1106.7745}  
Iteration 20:{space 2}log pseudolikelihood = {res:-1096.7475}  
Iteration 21:{space 2}log pseudolikelihood = {res:-1096.6887}  
Iteration 22:{space 2}log pseudolikelihood = {res:-1096.6886}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -1829.657}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1488.4935}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1487.9062}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1487.9059}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1487.9059}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -1378.301}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1272.9685}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1031.4793}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1012.6016}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1011.6318}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1011.6282}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1011.6282}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}    56,394
{txt}{col 49}Wald chi2({res}15{txt}){col 67}= {res}    748.67
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1011.6282{txt}{col 49}Pseudo R2{col 67}= {res}    0.3201

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}       repression{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}hostcitytime {c |}{col 19}{res}{space 2} 8.561373{col 31}{space 2} 2.175504{col 42}{space 1}    3.94{col 51}{space 3}0.000{col 59}{space 4} 4.297463{col 72}{space 3} 12.82528
{txt}{space 4}hostcitytime2 {c |}{col 19}{res}{space 2}-7.070304{col 31}{space 2} 1.731185{col 42}{space 1}   -4.08{col 51}{space 3}0.000{col 59}{space 4}-10.46336{col 72}{space 3}-3.677243
{txt}{space 9}hostcity {c |}{col 19}{res}{space 2}-1.510807{col 31}{space 2} .6411705{col 42}{space 1}   -2.36{col 51}{space 3}0.018{col 59}{space 4}-2.767478{col 72}{space 3}-.2541362
{txt}{space 13}time {c |}{col 19}{res}{space 2}-1.884474{col 31}{space 2} 1.204911{col 42}{space 1}   -1.56{col 51}{space 3}0.118{col 59}{space 4}-4.246057{col 72}{space 3} .4771086
{txt}{space 12}time2 {c |}{col 19}{res}{space 2} 1.319009{col 31}{space 2} .9521743{col 42}{space 1}    1.39{col 51}{space 3}0.166{col 59}{space 4}-.5472179{col 72}{space 3} 3.185237
{txt}{space 3}lnlag2_strikes {c |}{col 19}{res}{space 2} .0847852{col 31}{space 2} .2321964{col 42}{space 1}    0.37{col 51}{space 3}0.715{col 59}{space 4}-.3703114{col 72}{space 3} .5398818
{txt}{space 7}lnpop_1970 {c |}{col 19}{res}{space 2} .3560644{col 31}{space 2} .2664414{col 42}{space 1}    1.34{col 51}{space 3}0.181{col 59}{space 4}-.1661512{col 72}{space 3}   .87828
{txt}{space 5}vote_frejuli {c |}{col 19}{res}{space 2} .0371118{col 31}{space 2} .0130783{col 42}{space 1}    2.84{col 51}{space 3}0.005{col 59}{space 4} .0114787{col 72}{space 3} .0627449
{txt}{space 5}literacy_avg {c |}{col 19}{res}{space 2} 1.204781{col 31}{space 2} 3.347739{col 42}{space 1}    0.36{col 51}{space 3}0.719{col 59}{space 4}-5.356666{col 72}{space 3} 7.766228
{txt}{space 5}lnrebact1974 {c |}{col 19}{res}{space 2} -.059345{col 31}{space 2} .0780083{col 42}{space 1}   -0.76{col 51}{space 3}0.447{col 59}{space 4}-.2122385{col 72}{space 3} .0935484
{txt}lnrepression70_77 {c |}{col 19}{res}{space 2} .7085173{col 31}{space 2} .1958397{col 42}{space 1}    3.62{col 51}{space 3}0.000{col 59}{space 4} .3246785{col 72}{space 3} 1.092356
{txt}{space 12}zone2 {c |}{col 19}{res}{space 2}-2.058905{col 31}{space 2} .4334706{col 42}{space 1}   -4.75{col 51}{space 3}0.000{col 59}{space 4}-2.908492{col 72}{space 3}-1.209319
{txt}{space 12}zone3 {c |}{col 19}{res}{space 2}-.9215698{col 31}{space 2}  .287214{col 42}{space 1}   -3.21{col 51}{space 3}0.001{col 59}{space 4}-1.484499{col 72}{space 3}-.3586406
{txt}{space 12}zone4 {c |}{col 19}{res}{space 2}-.3941648{col 31}{space 2} .2667544{col 42}{space 1}   -1.48{col 51}{space 3}0.140{col 59}{space 4}-.9169938{col 72}{space 3} .1286641
{txt}{space 12}zone5 {c |}{col 19}{res}{space 2} -.916685{col 31}{space 2}  .476159{col 42}{space 1}   -1.93{col 51}{space 3}0.054{col 59}{space 4}-1.849939{col 72}{space 3} .0165695
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-13.32448{col 31}{space 2} 3.545564{col 42}{space 1}   -3.76{col 51}{space 3}0.000{col 59}{space 4}-20.27366{col 72}{space 3}-6.375307
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}/lnalpha {c |}{col 19}{res}{space 2} 1.803061{col 31}{space 2} .3055021{col 59}{space 4} 1.204288{col 72}{space 3} 2.401834
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
            alpha {c |}{col 19}{res}{space 2} 6.068195{col 31}{space 2} 1.853846{col 59}{space 4} 3.334384{col 72}{space 3} 11.04341
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.                 
.         *Model 7
.         reg lnrepression hostcitytime hostcitytime2 hostcity time time2 lnstrikes lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77, robust           

{txt}Linear regression                               Number of obs     = {res}    56,394
                                                {txt}F(11, 56382)      =  {res}    16.37
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0756
                                                {txt}Root MSE          =    {res} .05144

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}     lnrepression{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}hostcitytime {c |}{col 19}{res}{space 2} .3585601{col 31}{space 2} .1354093{col 42}{space 1}    2.65{col 51}{space 3}0.008{col 59}{space 4}  .093157{col 72}{space 3} .6239632
{txt}{space 4}hostcitytime2 {c |}{col 19}{res}{space 2}-.2686482{col 31}{space 2} .1022195{col 42}{space 1}   -2.63{col 51}{space 3}0.009{col 59}{space 4}-.4689991{col 72}{space 3}-.0682974
{txt}{space 9}hostcity {c |}{col 19}{res}{space 2}-.0133935{col 31}{space 2} .0332902{col 42}{space 1}   -0.40{col 51}{space 3}0.687{col 59}{space 4}-.0786425{col 72}{space 3} .0518555
{txt}{space 13}time {c |}{col 19}{res}{space 2}-.0055446{col 31}{space 2} .0023689{col 42}{space 1}   -2.34{col 51}{space 3}0.019{col 59}{space 4}-.0101878{col 72}{space 3}-.0009015
{txt}{space 12}time2 {c |}{col 19}{res}{space 2} .0046786{col 31}{space 2} .0018504{col 42}{space 1}    2.53{col 51}{space 3}0.011{col 59}{space 4} .0010518{col 72}{space 3} .0083053
{txt}{space 8}lnstrikes {c |}{col 19}{res}{space 2} .0723317{col 31}{space 2} .0131104{col 42}{space 1}    5.52{col 51}{space 3}0.000{col 59}{space 4} .0466352{col 72}{space 3} .0980281
{txt}{space 7}lnpop_1970 {c |}{col 19}{res}{space 2} .0006429{col 31}{space 2} .0001912{col 42}{space 1}    3.36{col 51}{space 3}0.001{col 59}{space 4} .0002681{col 72}{space 3} .0010177
{txt}{space 5}vote_frejuli {c |}{col 19}{res}{space 2}-.0000314{col 31}{space 2} .0000185{col 42}{space 1}   -1.70{col 51}{space 3}0.089{col 59}{space 4}-.0000677{col 72}{space 3} 4.82e-06
{txt}{space 5}literacy_avg {c |}{col 19}{res}{space 2}-.0031138{col 31}{space 2} .0010784{col 42}{space 1}   -2.89{col 51}{space 3}0.004{col 59}{space 4}-.0052274{col 72}{space 3}-.0010002
{txt}{space 5}lnrebact1974 {c |}{col 19}{res}{space 2}-.0002414{col 31}{space 2} .0001357{col 42}{space 1}   -1.78{col 51}{space 3}0.075{col 59}{space 4}-.0005075{col 72}{space 3} .0000246
{txt}lnrepression70_77 {c |}{col 19}{res}{space 2} .0029384{col 31}{space 2} .0003881{col 42}{space 1}    7.57{col 51}{space 3}0.000{col 59}{space 4} .0021778{col 72}{space 3}  .003699
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-.0017707{col 31}{space 2} .0019348{col 42}{space 1}   -0.92{col 51}{space 3}0.360{col 59}{space 4} -.005563{col 72}{space 3} .0020216
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         *Model 8        
.         reg lnrepression hostcitytime hostcitytime2 hostcity time time2 lnlag_strikes lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77, robust       

{txt}Linear regression                               Number of obs     = {res}    56,394
                                                {txt}F(11, 56382)      =  {res}    16.92
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0975
                                                {txt}Root MSE          =    {res} .05083

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}     lnrepression{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}hostcitytime {c |}{col 19}{res}{space 2} .2521242{col 31}{space 2} .1287445{col 42}{space 1}    1.96{col 51}{space 3}0.050{col 59}{space 4}-.0002158{col 72}{space 3} .5044642
{txt}{space 4}hostcitytime2 {c |}{col 19}{res}{space 2}-.2223579{col 31}{space 2} .0997987{col 42}{space 1}   -2.23{col 51}{space 3}0.026{col 59}{space 4}-.4179639{col 72}{space 3}-.0267518
{txt}{space 9}hostcity {c |}{col 19}{res}{space 2}  .023165{col 31}{space 2} .0322122{col 42}{space 1}    0.72{col 51}{space 3}0.472{col 59}{space 4}-.0399711{col 72}{space 3} .0863012
{txt}{space 13}time {c |}{col 19}{res}{space 2}-.0081787{col 31}{space 2} .0024059{col 42}{space 1}   -3.40{col 51}{space 3}0.001{col 59}{space 4}-.0128944{col 72}{space 3} -.003463
{txt}{space 12}time2 {c |}{col 19}{res}{space 2} .0054845{col 31}{space 2} .0018606{col 42}{space 1}    2.95{col 51}{space 3}0.003{col 59}{space 4} .0018376{col 72}{space 3} .0091314
{txt}{space 4}lnlag_strikes {c |}{col 19}{res}{space 2} .1109577{col 31}{space 2} .0169912{col 42}{space 1}    6.53{col 51}{space 3}0.000{col 59}{space 4} .0776548{col 72}{space 3} .1442606
{txt}{space 7}lnpop_1970 {c |}{col 19}{res}{space 2} .0005108{col 31}{space 2} .0001883{col 42}{space 1}    2.71{col 51}{space 3}0.007{col 59}{space 4} .0001418{col 72}{space 3} .0008798
{txt}{space 5}vote_frejuli {c |}{col 19}{res}{space 2} -.000029{col 31}{space 2} .0000183{col 42}{space 1}   -1.59{col 51}{space 3}0.112{col 59}{space 4}-.0000647{col 72}{space 3} 6.80e-06
{txt}{space 5}literacy_avg {c |}{col 19}{res}{space 2}-.0019681{col 31}{space 2} .0010693{col 42}{space 1}   -1.84{col 51}{space 3}0.066{col 59}{space 4}-.0040638{col 72}{space 3} .0001276
{txt}{space 5}lnrebact1974 {c |}{col 19}{res}{space 2}-.0002865{col 31}{space 2} .0001337{col 42}{space 1}   -2.14{col 51}{space 3}0.032{col 59}{space 4}-.0005485{col 72}{space 3}-.0000245
{txt}lnrepression70_77 {c |}{col 19}{res}{space 2} .0024298{col 31}{space 2} .0003916{col 42}{space 1}    6.21{col 51}{space 3}0.000{col 59}{space 4} .0016623{col 72}{space 3} .0031973
{txt}{space 12}_cons {c |}{col 19}{res}{space 2} 2.92e-07{col 31}{space 2} .0019075{col 42}{space 1}    0.00{col 51}{space 3}1.000{col 59}{space 4}-.0037384{col 72}{space 3}  .003739
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         *Model 9        
.         reg lnrepression hostcitytime hostcitytime2 hostcity time time2 lnlag2_strikes lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77, robust

{txt}Linear regression                               Number of obs     = {res}    56,394
                                                {txt}F(11, 56382)      =  {res}    16.48
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0781
                                                {txt}Root MSE          =    {res} .05138

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}     lnrepression{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}hostcitytime {c |}{col 19}{res}{space 2} .4819475{col 31}{space 2} .1360935{col 42}{space 1}    3.54{col 51}{space 3}0.000{col 59}{space 4} .2152034{col 72}{space 3} .7486915
{txt}{space 4}hostcitytime2 {c |}{col 19}{res}{space 2} -.400953{col 31}{space 2} .1046344{col 42}{space 1}   -3.83{col 51}{space 3}0.000{col 59}{space 4}-.6060371{col 72}{space 3}-.1958689
{txt}{space 9}hostcity {c |}{col 19}{res}{space 2}-.0279235{col 31}{space 2} .0309013{col 42}{space 1}   -0.90{col 51}{space 3}0.366{col 59}{space 4}-.0884903{col 72}{space 3} .0326433
{txt}{space 13}time {c |}{col 19}{res}{space 2}-.0007116{col 31}{space 2}  .002349{col 42}{space 1}   -0.30{col 51}{space 3}0.762{col 59}{space 4}-.0053156{col 72}{space 3} .0038924
{txt}{space 12}time2 {c |}{col 19}{res}{space 2}-.0005873{col 31}{space 2} .0018195{col 42}{space 1}   -0.32{col 51}{space 3}0.747{col 59}{space 4}-.0041536{col 72}{space 3}  .002979
{txt}{space 3}lnlag2_strikes {c |}{col 19}{res}{space 2} .0803373{col 31}{space 2} .0132651{col 42}{space 1}    6.06{col 51}{space 3}0.000{col 59}{space 4} .0543376{col 72}{space 3} .1063371
{txt}{space 7}lnpop_1970 {c |}{col 19}{res}{space 2} .0006365{col 31}{space 2} .0001931{col 42}{space 1}    3.30{col 51}{space 3}0.001{col 59}{space 4}  .000258{col 72}{space 3} .0010151
{txt}{space 5}vote_frejuli {c |}{col 19}{res}{space 2}-.0000258{col 31}{space 2} .0000183{col 42}{space 1}   -1.41{col 51}{space 3}0.158{col 59}{space 4}-.0000617{col 72}{space 3}   .00001
{txt}{space 5}literacy_avg {c |}{col 19}{res}{space 2}-.0032029{col 31}{space 2} .0010492{col 42}{space 1}   -3.05{col 51}{space 3}0.002{col 59}{space 4}-.0052592{col 72}{space 3}-.0011465
{txt}{space 5}lnrebact1974 {c |}{col 19}{res}{space 2} -.000195{col 31}{space 2} .0001301{col 42}{space 1}   -1.50{col 51}{space 3}0.134{col 59}{space 4}-.0004499{col 72}{space 3}   .00006
{txt}lnrepression70_77 {c |}{col 19}{res}{space 2} .0029794{col 31}{space 2} .0003789{col 42}{space 1}    7.86{col 51}{space 3}0.000{col 59}{space 4} .0022368{col 72}{space 3}  .003722
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-.0024653{col 31}{space 2} .0019381{col 42}{space 1}   -1.27{col 51}{space 3}0.203{col 59}{space 4} -.006264{col 72}{space 3} .0013335
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         *Model 10
.         reg lnrepression hostcitytime hostcitytime2 hostcity time time2 lnstrikes lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77 zone2-zone5, robust       

{txt}Linear regression                               Number of obs     = {res}    56,394
                                                {txt}F(15, 56378)      =  {res}    12.26
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0789
                                                {txt}Root MSE          =    {res} .05135

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}     lnrepression{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}hostcitytime {c |}{col 19}{res}{space 2} .3597365{col 31}{space 2} .1346373{col 42}{space 1}    2.67{col 51}{space 3}0.008{col 59}{space 4} .0958466{col 72}{space 3} .6236265
{txt}{space 4}hostcitytime2 {c |}{col 19}{res}{space 2}-.2701422{col 31}{space 2} .1016397{col 42}{space 1}   -2.66{col 51}{space 3}0.008{col 59}{space 4}-.4693566{col 72}{space 3}-.0709277
{txt}{space 9}hostcity {c |}{col 19}{res}{space 2}-.0149921{col 31}{space 2} .0331511{col 42}{space 1}   -0.45{col 51}{space 3}0.651{col 59}{space 4}-.0799685{col 72}{space 3} .0499842
{txt}{space 13}time {c |}{col 19}{res}{space 2}-.0054761{col 31}{space 2} .0023709{col 42}{space 1}   -2.31{col 51}{space 3}0.021{col 59}{space 4} -.010123{col 72}{space 3}-.0008292
{txt}{space 12}time2 {c |}{col 19}{res}{space 2} .0046097{col 31}{space 2} .0018521{col 42}{space 1}    2.49{col 51}{space 3}0.013{col 59}{space 4} .0009796{col 72}{space 3} .0082399
{txt}{space 8}lnstrikes {c |}{col 19}{res}{space 2} .0703474{col 31}{space 2} .0132352{col 42}{space 1}    5.32{col 51}{space 3}0.000{col 59}{space 4} .0444063{col 72}{space 3} .0962885
{txt}{space 7}lnpop_1970 {c |}{col 19}{res}{space 2} .0023248{col 31}{space 2} .0003437{col 42}{space 1}    6.76{col 51}{space 3}0.000{col 59}{space 4} .0016512{col 72}{space 3} .0029984
{txt}{space 5}vote_frejuli {c |}{col 19}{res}{space 2}-6.32e-06{col 31}{space 2} .0000244{col 42}{space 1}   -0.26{col 51}{space 3}0.796{col 59}{space 4}-.0000542{col 72}{space 3} .0000416
{txt}{space 5}literacy_avg {c |}{col 19}{res}{space 2}-.0173158{col 31}{space 2} .0020963{col 42}{space 1}   -8.26{col 51}{space 3}0.000{col 59}{space 4}-.0214246{col 72}{space 3}-.0132069
{txt}{space 5}lnrebact1974 {c |}{col 19}{res}{space 2}-.0011519{col 31}{space 2} .0001763{col 42}{space 1}   -6.54{col 51}{space 3}0.000{col 59}{space 4}-.0014974{col 72}{space 3}-.0008064
{txt}lnrepression70_77 {c |}{col 19}{res}{space 2} .0025927{col 31}{space 2} .0003903{col 42}{space 1}    6.64{col 51}{space 3}0.000{col 59}{space 4} .0018278{col 72}{space 3} .0033576
{txt}{space 12}zone2 {c |}{col 19}{res}{space 2}-.0111787{col 31}{space 2} .0012293{col 42}{space 1}   -9.09{col 51}{space 3}0.000{col 59}{space 4}-.0135882{col 72}{space 3}-.0087693
{txt}{space 12}zone3 {c |}{col 19}{res}{space 2}-.0087693{col 31}{space 2} .0010563{col 42}{space 1}   -8.30{col 51}{space 3}0.000{col 59}{space 4}-.0108396{col 72}{space 3} -.006699
{txt}{space 12}zone4 {c |}{col 19}{res}{space 2}-.0138048{col 31}{space 2} .0041481{col 42}{space 1}   -3.33{col 51}{space 3}0.001{col 59}{space 4}-.0219351{col 72}{space 3}-.0056745
{txt}{space 12}zone5 {c |}{col 19}{res}{space 2}-.0073144{col 31}{space 2} .0008197{col 42}{space 1}   -8.92{col 51}{space 3}0.000{col 59}{space 4}-.0089211{col 72}{space 3}-.0057078
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-.0002701{col 31}{space 2} .0023263{col 42}{space 1}   -0.12{col 51}{space 3}0.908{col 59}{space 4}-.0048297{col 72}{space 3} .0042895
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 
.         *Model 11       
.         reg lnrepression hostcitytime hostcitytime2 hostcity time time2 lnlag_strikes lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77 zone2-zone5, robust    

{txt}Linear regression                               Number of obs     = {res}    56,394
                                                {txt}F(15, 56378)      =  {res}    12.62
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1008
                                                {txt}Root MSE          =    {res} .05074

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}     lnrepression{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}hostcitytime {c |}{col 19}{res}{space 2} .2523924{col 31}{space 2} .1278861{col 42}{space 1}    1.97{col 51}{space 3}0.048{col 59}{space 4} .0017348{col 72}{space 3}   .50305
{txt}{space 4}hostcitytime2 {c |}{col 19}{res}{space 2}-.2225388{col 31}{space 2}   .09925{col 42}{space 1}   -2.24{col 51}{space 3}0.025{col 59}{space 4}-.4170695{col 72}{space 3}-.0280081
{txt}{space 9}hostcity {c |}{col 19}{res}{space 2} .0202113{col 31}{space 2} .0320221{col 42}{space 1}    0.63{col 51}{space 3}0.528{col 59}{space 4}-.0425521{col 72}{space 3} .0829748
{txt}{space 13}time {c |}{col 19}{res}{space 2}-.0081695{col 31}{space 2} .0024116{col 42}{space 1}   -3.39{col 51}{space 3}0.001{col 59}{space 4}-.0128961{col 72}{space 3}-.0034428
{txt}{space 12}time2 {c |}{col 19}{res}{space 2} .0054785{col 31}{space 2} .0018649{col 42}{space 1}    2.94{col 51}{space 3}0.003{col 59}{space 4} .0018232{col 72}{space 3} .0091339
{txt}{space 4}lnlag_strikes {c |}{col 19}{res}{space 2} .1107584{col 31}{space 2} .0172371{col 42}{space 1}    6.43{col 51}{space 3}0.000{col 59}{space 4} .0769737{col 72}{space 3} .1445432
{txt}{space 7}lnpop_1970 {c |}{col 19}{res}{space 2} .0018985{col 31}{space 2} .0003304{col 42}{space 1}    5.75{col 51}{space 3}0.000{col 59}{space 4} .0012509{col 72}{space 3} .0025462
{txt}{space 5}vote_frejuli {c |}{col 19}{res}{space 2} -.000011{col 31}{space 2} .0000242{col 42}{space 1}   -0.46{col 51}{space 3}0.648{col 59}{space 4}-.0000585{col 72}{space 3} .0000364
{txt}{space 5}literacy_avg {c |}{col 19}{res}{space 2}-.0146842{col 31}{space 2} .0019911{col 42}{space 1}   -7.37{col 51}{space 3}0.000{col 59}{space 4}-.0185868{col 72}{space 3}-.0107815
{txt}{space 5}lnrebact1974 {c |}{col 19}{res}{space 2}-.0010336{col 31}{space 2} .0001683{col 42}{space 1}   -6.14{col 51}{space 3}0.000{col 59}{space 4}-.0013635{col 72}{space 3}-.0007036
{txt}lnrepression70_77 {c |}{col 19}{res}{space 2} .0023669{col 31}{space 2} .0003885{col 42}{space 1}    6.09{col 51}{space 3}0.000{col 59}{space 4} .0016056{col 72}{space 3} .0031283
{txt}{space 12}zone2 {c |}{col 19}{res}{space 2}-.0096684{col 31}{space 2} .0011614{col 42}{space 1}   -8.32{col 51}{space 3}0.000{col 59}{space 4}-.0119448{col 72}{space 3} -.007392
{txt}{space 12}zone3 {c |}{col 19}{res}{space 2}-.0075575{col 31}{space 2} .0010082{col 42}{space 1}   -7.50{col 51}{space 3}0.000{col 59}{space 4}-.0095337{col 72}{space 3}-.0055814
{txt}{space 12}zone4 {c |}{col 19}{res}{space 2}-.0181886{col 31}{space 2} .0043867{col 42}{space 1}   -4.15{col 51}{space 3}0.000{col 59}{space 4}-.0267865{col 72}{space 3}-.0095906
{txt}{space 12}zone5 {c |}{col 19}{res}{space 2}-.0065455{col 31}{space 2} .0007819{col 42}{space 1}   -8.37{col 51}{space 3}0.000{col 59}{space 4} -.008078{col 72}{space 3} -.005013
{txt}{space 12}_cons {c |}{col 19}{res}{space 2} .0023323{col 31}{space 2} .0023172{col 42}{space 1}    1.01{col 51}{space 3}0.314{col 59}{space 4}-.0022094{col 72}{space 3} .0068739
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         *Model 12
.         reg lnrepression hostcitytime hostcitytime2 hostcity time time2 lnlag2_strikes lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77 zone2-zone5, robust          

{txt}Linear regression                               Number of obs     = {res}    56,394
                                                {txt}F(15, 56378)      =  {res}    12.37
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0817
                                                {txt}Root MSE          =    {res} .05128

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}     lnrepression{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}hostcitytime {c |}{col 19}{res}{space 2} .4810171{col 31}{space 2} .1352625{col 42}{space 1}    3.56{col 51}{space 3}0.000{col 59}{space 4} .2159017{col 72}{space 3} .7461325
{txt}{space 4}hostcitytime2 {c |}{col 19}{res}{space 2}-.4000533{col 31}{space 2} .1040169{col 42}{space 1}   -3.85{col 51}{space 3}0.000{col 59}{space 4}-.6039272{col 72}{space 3}-.1961795
{txt}{space 9}hostcity {c |}{col 19}{res}{space 2}-.0298917{col 31}{space 2} .0307048{col 42}{space 1}   -0.97{col 51}{space 3}0.330{col 59}{space 4}-.0900732{col 72}{space 3} .0302899
{txt}{space 13}time {c |}{col 19}{res}{space 2}-.0007386{col 31}{space 2} .0023497{col 42}{space 1}   -0.31{col 51}{space 3}0.753{col 59}{space 4}-.0053441{col 72}{space 3} .0038669
{txt}{space 12}time2 {c |}{col 19}{res}{space 2}-.0005555{col 31}{space 2} .0018197{col 42}{space 1}   -0.31{col 51}{space 3}0.760{col 59}{space 4} -.004122{col 72}{space 3} .0030111
{txt}{space 3}lnlag2_strikes {c |}{col 19}{res}{space 2} .0794089{col 31}{space 2} .0134933{col 42}{space 1}    5.89{col 51}{space 3}0.000{col 59}{space 4} .0529619{col 72}{space 3} .1058559
{txt}{space 7}lnpop_1970 {c |}{col 19}{res}{space 2} .0023017{col 31}{space 2} .0003554{col 42}{space 1}    6.48{col 51}{space 3}0.000{col 59}{space 4} .0016051{col 72}{space 3} .0029983
{txt}{space 5}vote_frejuli {c |}{col 19}{res}{space 2} 1.86e-06{col 31}{space 2} .0000239{col 42}{space 1}    0.08{col 51}{space 3}0.938{col 59}{space 4}-.0000451{col 72}{space 3} .0000488
{txt}{space 5}literacy_avg {c |}{col 19}{res}{space 2}-.0173464{col 31}{space 2} .0021458{col 42}{space 1}   -8.08{col 51}{space 3}0.000{col 59}{space 4}-.0215521{col 72}{space 3}-.0131406
{txt}{space 5}lnrebact1974 {c |}{col 19}{res}{space 2}-.0011012{col 31}{space 2} .0001805{col 42}{space 1}   -6.10{col 51}{space 3}0.000{col 59}{space 4}-.0014551{col 72}{space 3}-.0007474
{txt}lnrepression70_77 {c |}{col 19}{res}{space 2} .0026932{col 31}{space 2} .0003823{col 42}{space 1}    7.04{col 51}{space 3}0.000{col 59}{space 4} .0019439{col 72}{space 3} .0034425
{txt}{space 12}zone2 {c |}{col 19}{res}{space 2}-.0112093{col 31}{space 2} .0012935{col 42}{space 1}   -8.67{col 51}{space 3}0.000{col 59}{space 4}-.0137445{col 72}{space 3}-.0086741
{txt}{space 12}zone3 {c |}{col 19}{res}{space 2}  -.00891{col 31}{space 2} .0011056{col 42}{space 1}   -8.06{col 51}{space 3}0.000{col 59}{space 4}-.0110771{col 72}{space 3} -.006743
{txt}{space 12}zone4 {c |}{col 19}{res}{space 2}-.0159187{col 31}{space 2} .0042685{col 42}{space 1}   -3.73{col 51}{space 3}0.000{col 59}{space 4}-.0242849{col 72}{space 3}-.0075524
{txt}{space 12}zone5 {c |}{col 19}{res}{space 2}-.0073534{col 31}{space 2} .0008605{col 42}{space 1}   -8.55{col 51}{space 3}0.000{col 59}{space 4}-.0090399{col 72}{space 3}-.0056669
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-.0009487{col 31}{space 2} .0023009{col 42}{space 1}   -0.41{col 51}{space 3}0.680{col 59}{space 4}-.0054584{col 72}{space 3} .0035611
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         
.         
.         ****************************************************************************
.         *Table SI.5.1: Regression results for types of repression (time indicators)
.         ****************************************************************************            
.         
.         *Preserving data
.         preserve
{txt}
{com}.         
.         *Loading data
.         use "$path\figure_7_data.dta"
{txt}
{com}.         
.         *Model 1        
.         nbreg disappear timedum2 timedum3 timedum4, robust              

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-234.86278}  
Iteration 1:{space 3}log pseudolikelihood = {res: -234.8626}  
Iteration 2:{space 3}log pseudolikelihood = {res: -234.8626}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-236.80151}  
Iteration 1:{space 3}log pseudolikelihood = {res:-231.67359}  
Iteration 2:{space 3}log pseudolikelihood = {res:-231.64229}  
Iteration 3:{space 3}log pseudolikelihood = {res:-231.64226}  
Iteration 4:{space 3}log pseudolikelihood = {res:-231.64226}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -225.0019}  
Iteration 1:{space 3}log pseudolikelihood = {res:-224.30345}  
Iteration 2:{space 3}log pseudolikelihood = {res:-224.29199}  
Iteration 3:{space 3}log pseudolikelihood = {res:-224.29199}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}       117
{txt}{col 49}Wald chi2({res}3{txt}){col 67}= {res}     15.19
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0017
{txt}Log pseudolikelihood = {res}-224.29199{txt}{col 49}Pseudo R2{col 67}= {res}    0.0317

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   disappear{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}timedum2 {c |}{col 14}{res}{space 2}-.0689929{col 26}{space 2} .2060417{col 37}{space 1}   -0.33{col 46}{space 3}0.738{col 54}{space 4}-.4728272{col 67}{space 3} .3348414
{txt}{space 4}timedum3 {c |}{col 14}{res}{space 2} .5823958{col 26}{space 2} .2032808{col 37}{space 1}    2.86{col 46}{space 3}0.004{col 54}{space 4} .1839728{col 67}{space 3} .9808187
{txt}{space 4}timedum4 {c |}{col 14}{res}{space 2}-.2231435{col 26}{space 2} .2959746{col 37}{space 1}   -0.75{col 46}{space 3}0.451{col 54}{space 4}-.8032431{col 67}{space 3}  .356956
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .6931472{col 26}{space 2} .1484608{col 37}{space 1}    4.67{col 46}{space 3}0.000{col 54}{space 4} .4021693{col 67}{space 3}  .984125
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}/lnalpha {c |}{col 14}{res}{space 2}-1.120687{col 26}{space 2} .3578331{col 54}{space 4}-1.822027{col 67}{space 3}-.4193468
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
       alpha {c |}{col 14}{res}{space 2} .3260558{col 26}{space 2} .1166736{col 54}{space 4} .1616977{col 67}{space 3} .6574762
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.                 
.         *Model 2
.         reg ln_disappear timedum2 timedum3 timedum4, robust             

{txt}Linear regression                               Number of obs     = {res}       117
                                                {txt}F(3, 113)         =  {res}     3.60
                                                {txt}Prob > F          = {res}    0.0157
                                                {txt}R-squared         = {res}    0.0989
                                                {txt}Root MSE          =    {res} .62593

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}ln_disappear{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}timedum2 {c |}{col 14}{res}{space 2}-.0300394{col 26}{space 2} .1513297{col 37}{space 1}   -0.20{col 46}{space 3}0.843{col 54}{space 4}-.3298509{col 67}{space 3} .2697721
{txt}{space 4}timedum3 {c |}{col 14}{res}{space 2} .3744882{col 26}{space 2} .1674729{col 37}{space 1}    2.24{col 46}{space 3}0.027{col 54}{space 4} .0426942{col 67}{space 3} .7062821
{txt}{space 4}timedum4 {c |}{col 14}{res}{space 2}-.1801042{col 26}{space 2} .1615191{col 37}{space 1}   -1.12{col 46}{space 3}0.267{col 54}{space 4}-.5001026{col 67}{space 3} .1398943
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .9360411{col 26}{space 2} .1087333{col 37}{space 1}    8.61{col 46}{space 3}0.000{col 54}{space 4} .7206209{col 67}{space 3} 1.151461
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 
.         *Model 3
.         nbreg kill timedum2 timedum3 timedum4, robust           

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-66.472751}  
Iteration 1:{space 3}log pseudolikelihood = {res:-66.468093}  
Iteration 2:{space 3}log pseudolikelihood = {res:-66.468092}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-64.327502}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-57.663923}  
Iteration 2:{space 3}log pseudolikelihood = {res: -57.57259}  
Iteration 3:{space 3}log pseudolikelihood = {res:-57.572566}  
Iteration 4:{space 3}log pseudolikelihood = {res:-57.572566}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-55.585903}  
Iteration 1:{space 3}log pseudolikelihood = {res:-55.110124}  
Iteration 2:{space 3}log pseudolikelihood = {res:-55.044981}  
Iteration 3:{space 3}log pseudolikelihood = {res:-55.044725}  
Iteration 4:{space 3}log pseudolikelihood = {res:-55.044725}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}       117
{txt}{col 49}Wald chi2({res}3{txt}){col 67}= {res}      5.97
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.1133
{txt}Log pseudolikelihood = {res}-55.044725{txt}{col 49}Pseudo R2{col 67}= {res}    0.0439

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}        kill{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}timedum2 {c |}{col 14}{res}{space 2}-.5862494{col 26}{space 2} .7387579{col 37}{space 1}   -0.79{col 46}{space 3}0.427{col 54}{space 4}-2.034188{col 67}{space 3} .8616895
{txt}{space 4}timedum3 {c |}{col 14}{res}{space 2}-1.871802{col 26}{space 2}  1.07906{col 37}{space 1}   -1.73{col 46}{space 3}0.083{col 54}{space 4}-3.986721{col 67}{space 3} .2431167
{txt}{space 4}timedum4 {c |}{col 14}{res}{space 2}-1.656691{col 26}{space 2}  .807621{col 37}{space 1}   -2.05{col 46}{space 3}0.040{col 54}{space 4}-3.239599{col 67}{space 3}-.0737828
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.8690378{col 26}{space 2} .4339195{col 37}{space 1}   -2.00{col 46}{space 3}0.045{col 54}{space 4}-1.719504{col 67}{space 3}-.0185713
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}/lnalpha {c |}{col 14}{res}{space 2} 1.796356{col 26}{space 2} .4573441{col 54}{space 4} .8999784{col 67}{space 3} 2.692734
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
       alpha {c |}{col 14}{res}{space 2} 6.027644{col 26}{space 2} 2.756707{col 54}{space 4}  2.45955{col 67}{space 3} 14.77201
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.                 
.         *Model 4
.         reg ln_kill timedum2 timedum3 timedum4, robust                  

{txt}Linear regression                               Number of obs     = {res}       117
                                                {txt}F(3, 113)         =  {res}     1.63
                                                {txt}Prob > F          = {res}    0.1860
                                                {txt}R-squared         = {res}    0.0482
                                                {txt}Root MSE          =    {res} .32651

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     ln_kill{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}timedum2 {c |}{col 14}{res}{space 2}-.1025907{col 26}{space 2} .1051443{col 37}{space 1}   -0.98{col 46}{space 3}0.331{col 54}{space 4}-.3109006{col 67}{space 3} .1057191
{txt}{space 4}timedum3 {c |}{col 14}{res}{space 2}-.1826761{col 26}{space 2} .0883163{col 37}{space 1}   -2.07{col 46}{space 3}0.041{col 54}{space 4}-.3576467{col 67}{space 3}-.0077056
{txt}{space 4}timedum4 {c |}{col 14}{res}{space 2}-.1626635{col 26}{space 2} .0894755{col 37}{space 1}   -1.82{col 46}{space 3}0.072{col 54}{space 4}-.3399305{col 67}{space 3} .0146036
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .2181153{col 26}{space 2} .0808785{col 37}{space 1}    2.70{col 46}{space 3}0.008{col 54}{space 4} .0578803{col 67}{space 3} .3783502
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         *Restoring data
.         restore 
{txt}
{com}.         
.         
.         
.         ****************************************************************************
.         *Table SI.5.2: Regression results for proximity to nearest journalist hotel
.         ****************************************************************************                    
.         
.         *Model 1
.         nbreg repression prox_hotelonly_time prox_hotelonly_time2 prox_hotelonly_time3 prox_hotelonly time time2 time3, robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1529.0724}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1464.8575}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1460.0517}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1459.9484}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1459.9483}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -1843.669}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1500.2738}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1499.8186}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1499.8185}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1499.8185}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1499.8185}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res: -1452.262}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1353.7878}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1277.1779}  
Iteration 4:{space 3}log pseudolikelihood = {res: -1252.753}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1250.7267}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1250.7066}  
Iteration 7:{space 3}log pseudolikelihood = {res:-1250.7066}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}    58,107
{txt}{col 49}Wald chi2({res}7{txt}){col 67}= {res}     60.44
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1250.7066{txt}{col 49}Pseudo R2{col 67}= {res}    0.1661

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}          repression{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}prox_hotelonly_time {c |}{col 22}{res}{space 2} 4.102007{col 34}{space 2} 5.610105{col 45}{space 1}    0.73{col 54}{space 3}0.465{col 62}{space 4}-6.893596{col 75}{space 3} 15.09761
{txt}prox_hotelonly_time2 {c |}{col 22}{res}{space 2} 2.249483{col 34}{space 2} 13.17378{col 45}{space 1}    0.17{col 54}{space 3}0.864{col 62}{space 4}-23.57064{col 75}{space 3} 28.06961
{txt}prox_hotelonly_time3 {c |}{col 22}{res}{space 2}-4.634128{col 34}{space 2} 7.776583{col 45}{space 1}   -0.60{col 54}{space 3}0.551{col 62}{space 4}-19.87595{col 75}{space 3} 10.60769
{txt}{space 6}prox_hotelonly {c |}{col 22}{res}{space 2}  .851607{col 34}{space 2} .4649736{col 45}{space 1}    1.83{col 54}{space 3}0.067{col 62}{space 4}-.0597245{col 75}{space 3} 1.762939
{txt}{space 16}time {c |}{col 22}{res}{space 2}-42.10035{col 34}{space 2} 49.80619{col 45}{space 1}   -0.85{col 54}{space 3}0.398{col 62}{space 4}-139.7187{col 75}{space 3} 55.51798
{txt}{space 15}time2 {c |}{col 22}{res}{space 2}-7.587582{col 34}{space 2} 117.5615{col 45}{space 1}   -0.06{col 54}{space 3}0.949{col 62}{space 4}-238.0039{col 75}{space 3} 222.8288
{txt}{space 15}time3 {c |}{col 22}{res}{space 2} 33.91703{col 34}{space 2} 69.49152{col 45}{space 1}    0.49{col 54}{space 3}0.625{col 62}{space 4}-102.2838{col 75}{space 3} 170.1179
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-11.30821{col 34}{space 2} 4.044071{col 45}{space 1}   -2.80{col 54}{space 3}0.005{col 62}{space 4}-19.23444{col 75}{space 3}-3.381978
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}/lnalpha {c |}{col 22}{res}{space 2} 3.245801{col 34}{space 2} .2479891{col 62}{space 4} 2.759751{col 75}{space 3} 3.731851
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
               alpha {c |}{col 22}{res}{space 2} 25.68227{col 34}{space 2} 6.368924{col 62}{space 4} 15.79591{col 75}{space 3} 41.75631
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         
.         *Model 2
.         nbreg repression prox_hotelonly_time prox_hotelonly_time2 prox_hotelonly_time3 prox_hotelonly time time2 time3 lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77, robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1917.0727}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1783.3394}  (backed up)
Iteration 2:{space 3}log pseudolikelihood = {res: -1370.717}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1168.4793}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1117.6649}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1109.2286}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1108.4759}  
Iteration 7:{space 3}log pseudolikelihood = {res:-1108.4728}  
Iteration 8:{space 3}log pseudolikelihood = {res:-1108.4728}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -1829.657}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1488.4935}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1487.9062}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1487.9059}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1487.9059}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1404.2698}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1225.3929}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1033.4635}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1017.4834}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1016.3701}  
Iteration 5:{space 3}log pseudolikelihood = {res: -1016.367}  
Iteration 6:{space 3}log pseudolikelihood = {res: -1016.367}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}    56,394
{txt}{col 49}Wald chi2({res}12{txt}){col 67}= {res}    512.86
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res} -1016.367{txt}{col 49}Pseudo R2{col 67}= {res}    0.3169

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}          repression{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}prox_hotelonly_time {c |}{col 22}{res}{space 2} 1.548914{col 34}{space 2} 2.327479{col 45}{space 1}    0.67{col 54}{space 3}0.506{col 62}{space 4} -3.01286{col 75}{space 3} 6.110689
{txt}prox_hotelonly_time2 {c |}{col 22}{res}{space 2} .7576672{col 34}{space 2} 5.084524{col 45}{space 1}    0.15{col 54}{space 3}0.882{col 62}{space 4}-9.207817{col 75}{space 3} 10.72315
{txt}prox_hotelonly_time3 {c |}{col 22}{res}{space 2}-1.672184{col 34}{space 2} 2.904144{col 45}{space 1}   -0.58{col 54}{space 3}0.565{col 62}{space 4}-7.364202{col 75}{space 3} 4.019835
{txt}{space 6}prox_hotelonly {c |}{col 22}{res}{space 2}-.0637363{col 34}{space 2} .2214764{col 45}{space 1}   -0.29{col 54}{space 3}0.774{col 62}{space 4}-.4978222{col 75}{space 3} .3703495
{txt}{space 16}time {c |}{col 22}{res}{space 2} -19.8201{col 34}{space 2} 20.29956{col 45}{space 1}   -0.98{col 54}{space 3}0.329{col 62}{space 4} -59.6065{col 75}{space 3}  19.9663
{txt}{space 15}time2 {c |}{col 22}{res}{space 2} 5.972558{col 34}{space 2} 44.66021{col 45}{space 1}    0.13{col 54}{space 3}0.894{col 62}{space 4}-81.55985{col 75}{space 3} 93.50497
{txt}{space 15}time3 {c |}{col 22}{res}{space 2} 7.564858{col 34}{space 2} 25.58648{col 45}{space 1}    0.30{col 54}{space 3}0.767{col 62}{space 4}-42.58372{col 75}{space 3} 57.71344
{txt}{space 10}lnpop_1970 {c |}{col 22}{res}{space 2} .2504307{col 34}{space 2} .2547233{col 45}{space 1}    0.98{col 54}{space 3}0.326{col 62}{space 4}-.2488179{col 75}{space 3} .7496792
{txt}{space 8}vote_frejuli {c |}{col 22}{res}{space 2}  .031965{col 34}{space 2} .0129658{col 45}{space 1}    2.47{col 54}{space 3}0.014{col 62}{space 4} .0065525{col 75}{space 3} .0573774
{txt}{space 8}literacy_avg {c |}{col 22}{res}{space 2}-.0132743{col 34}{space 2} 3.681471{col 45}{space 1}   -0.00{col 54}{space 3}0.997{col 62}{space 4}-7.228824{col 75}{space 3} 7.202276
{txt}{space 8}lnrebact1974 {c |}{col 22}{res}{space 2} -.015745{col 34}{space 2} .0798045{col 45}{space 1}   -0.20{col 54}{space 3}0.844{col 62}{space 4} -.172159{col 75}{space 3} .1406691
{txt}{space 3}lnrepression70_77 {c |}{col 22}{res}{space 2} .8055425{col 34}{space 2} .2073878{col 45}{space 1}    3.88{col 54}{space 3}0.000{col 62}{space 4} .3990698{col 75}{space 3} 1.212015
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-10.88472{col 34}{space 2} 3.845916{col 45}{space 1}   -2.83{col 54}{space 3}0.005{col 62}{space 4}-18.42257{col 75}{space 3}-3.346863
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}/lnalpha {c |}{col 22}{res}{space 2} 1.940187{col 34}{space 2} .2960668{col 62}{space 4} 1.359907{col 75}{space 3} 2.520467
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
               alpha {c |}{col 22}{res}{space 2} 6.960055{col 34}{space 2} 2.060641{col 62}{space 4} 3.895831{col 75}{space 3} 12.43441
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.                 
.         *Model 3
.         nbreg repression prox_hotelonly_time prox_hotelonly_time2 prox_hotelonly_time3 prox_hotelonly time time2 time3 lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77 zone2-zone5, robust                  

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2520.1956}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2238.0407}  (backed up)
Iteration 2:{space 3}log pseudolikelihood = {res:-2153.8478}  (backed up)
Iteration 3:{space 3}log pseudolikelihood = {res: -1612.017}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1344.8541}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1117.2889}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1091.5313}  
Iteration 7:{space 3}log pseudolikelihood = {res:-1084.3055}  
Iteration 8:{space 3}log pseudolikelihood = {res:-1083.4657}  
Iteration 9:{space 3}log pseudolikelihood = {res:-1083.4405}  
Iteration 10:{space 2}log pseudolikelihood = {res:-1083.4404}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -1829.657}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1488.4935}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1487.9062}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1487.9059}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1487.9059}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -1400.329}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1226.0233}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1049.1028}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1018.9112}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1004.1838}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1002.6396}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1002.6332}  
Iteration 7:{space 3}log pseudolikelihood = {res:-1002.6332}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}    56,394
{txt}{col 49}Wald chi2({res}16{txt}){col 67}= {res}    713.33
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1002.6332{txt}{col 49}Pseudo R2{col 67}= {res}    0.3261

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}          repression{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}prox_hotelonly_time {c |}{col 22}{res}{space 2} 1.544002{col 34}{space 2} 2.241829{col 45}{space 1}    0.69{col 54}{space 3}0.491{col 62}{space 4}-2.849902{col 75}{space 3} 5.937905
{txt}prox_hotelonly_time2 {c |}{col 22}{res}{space 2}  .630692{col 34}{space 2} 4.874727{col 45}{space 1}    0.13{col 54}{space 3}0.897{col 62}{space 4}-8.923597{col 75}{space 3} 10.18498
{txt}prox_hotelonly_time3 {c |}{col 22}{res}{space 2}-1.570011{col 34}{space 2} 2.786629{col 45}{space 1}   -0.56{col 54}{space 3}0.573{col 62}{space 4}-7.031703{col 75}{space 3} 3.891681
{txt}{space 6}prox_hotelonly {c |}{col 22}{res}{space 2}-.0265477{col 34}{space 2} .2477118{col 45}{space 1}   -0.11{col 54}{space 3}0.915{col 62}{space 4} -.512054{col 75}{space 3} .4589586
{txt}{space 16}time {c |}{col 22}{res}{space 2}-19.67325{col 34}{space 2} 19.47283{col 45}{space 1}   -1.01{col 54}{space 3}0.312{col 62}{space 4}-57.83929{col 75}{space 3} 18.49279
{txt}{space 15}time2 {c |}{col 22}{res}{space 2} 6.950591{col 34}{space 2} 42.65026{col 45}{space 1}    0.16{col 54}{space 3}0.871{col 62}{space 4}-76.64239{col 75}{space 3} 90.54357
{txt}{space 15}time3 {c |}{col 22}{res}{space 2} 6.709114{col 34}{space 2} 24.46224{col 45}{space 1}    0.27{col 54}{space 3}0.784{col 62}{space 4}  -41.236{col 75}{space 3} 54.65423
{txt}{space 10}lnpop_1970 {c |}{col 22}{res}{space 2} .2336454{col 34}{space 2} .2420335{col 45}{space 1}    0.97{col 54}{space 3}0.334{col 62}{space 4}-.2407316{col 75}{space 3} .7080224
{txt}{space 8}vote_frejuli {c |}{col 22}{res}{space 2}  .036001{col 34}{space 2} .0130757{col 45}{space 1}    2.75{col 54}{space 3}0.006{col 62}{space 4} .0103731{col 75}{space 3} .0616289
{txt}{space 8}literacy_avg {c |}{col 22}{res}{space 2}-.0100904{col 34}{space 2} 3.179483{col 45}{space 1}   -0.00{col 54}{space 3}0.997{col 62}{space 4}-6.241763{col 75}{space 3} 6.221582
{txt}{space 8}lnrebact1974 {c |}{col 22}{res}{space 2}-.1805232{col 34}{space 2} .0704501{col 45}{space 1}   -2.56{col 54}{space 3}0.010{col 62}{space 4}-.3186029{col 75}{space 3}-.0424435
{txt}{space 3}lnrepression70_77 {c |}{col 22}{res}{space 2} .7855047{col 34}{space 2} .2136163{col 45}{space 1}    3.68{col 54}{space 3}0.000{col 62}{space 4} .3668244{col 75}{space 3} 1.204185
{txt}{space 15}zone2 {c |}{col 22}{res}{space 2}-1.817982{col 34}{space 2} .4225104{col 45}{space 1}   -4.30{col 54}{space 3}0.000{col 62}{space 4}-2.646087{col 75}{space 3}-.9898768
{txt}{space 15}zone3 {c |}{col 22}{res}{space 2}-.8162013{col 34}{space 2} .2596395{col 45}{space 1}   -3.14{col 54}{space 3}0.002{col 62}{space 4}-1.325085{col 75}{space 3}-.3073173
{txt}{space 15}zone4 {c |}{col 22}{res}{space 2}-.4810706{col 34}{space 2} .2717499{col 45}{space 1}   -1.77{col 54}{space 3}0.077{col 62}{space 4}-1.013691{col 75}{space 3} .0515493
{txt}{space 15}zone5 {c |}{col 22}{res}{space 2}-.0826774{col 34}{space 2} .6447499{col 45}{space 1}   -0.13{col 54}{space 3}0.898{col 62}{space 4}-1.346364{col 75}{space 3} 1.181009
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-10.15961{col 34}{space 2}  3.93942{col 45}{space 1}   -2.58{col 54}{space 3}0.010{col 62}{space 4}-17.88073{col 75}{space 3}-2.438488
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}/lnalpha {c |}{col 22}{res}{space 2} 1.787407{col 34}{space 2} .3125409{col 62}{space 4} 1.174838{col 75}{space 3} 2.399976
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
               alpha {c |}{col 22}{res}{space 2}  5.97394{col 34}{space 2} 1.867101{col 62}{space 4} 3.237618{col 75}{space 3} 11.02291
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
.         *Model 4
.         reg lnrepression prox_hotelonly_time prox_hotelonly_time2 prox_hotelonly_time3 prox_hotelonly time time2 time3, robust

{txt}Linear regression                               Number of obs     = {res}    58,107
                                                {txt}F(7, 58099)       =  {res}    21.99
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0051
                                                {txt}Root MSE          =    {res} .05266

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}        lnrepression{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}prox_hotelonly_time {c |}{col 22}{res}{space 2}-.0127464{col 34}{space 2} .0058922{col 45}{space 1}   -2.16{col 54}{space 3}0.031{col 62}{space 4} -.024295{col 75}{space 3}-.0011977
{txt}prox_hotelonly_time2 {c |}{col 22}{res}{space 2} .0308326{col 34}{space 2} .0115965{col 45}{space 1}    2.66{col 54}{space 3}0.008{col 62}{space 4} .0081035{col 75}{space 3} .0535617
{txt}prox_hotelonly_time3 {c |}{col 22}{res}{space 2}-.0188287{col 34}{space 2} .0064066{col 45}{space 1}   -2.94{col 54}{space 3}0.003{col 62}{space 4}-.0313858{col 75}{space 3}-.0062717
{txt}{space 6}prox_hotelonly {c |}{col 22}{res}{space 2}  .003136{col 34}{space 2} .0008085{col 45}{space 1}    3.88{col 54}{space 3}0.000{col 62}{space 4} .0015514{col 75}{space 3} .0047206
{txt}{space 16}time {c |}{col 22}{res}{space 2} .0693437{col 34}{space 2} .0348658{col 45}{space 1}    1.99{col 54}{space 3}0.047{col 62}{space 4} .0010067{col 75}{space 3} .1376807
{txt}{space 15}time2 {c |}{col 22}{res}{space 2}-.1726409{col 34}{space 2} .0683955{col 45}{space 1}   -2.52{col 54}{space 3}0.012{col 62}{space 4}-.3066965{col 75}{space 3}-.0385854
{txt}{space 15}time3 {c |}{col 22}{res}{space 2}  .106718{col 34}{space 2} .0376967{col 45}{space 1}    2.83{col 54}{space 3}0.005{col 62}{space 4} .0328322{col 75}{space 3} .1806038
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-.0170569{col 34}{space 2} .0048064{col 45}{space 1}   -3.55{col 54}{space 3}0.000{col 62}{space 4}-.0264776{col 75}{space 3}-.0076363
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         *Model 5
.         reg lnrepression prox_hotelonly_time prox_hotelonly_time2 prox_hotelonly_time3 prox_hotelonly time time2 time3 lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77, robust

{txt}Linear regression                               Number of obs     = {res}    56,394
                                                {txt}F(12, 56381)      =  {res}    14.09
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0342
                                                {txt}Root MSE          =    {res} .05258

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}        lnrepression{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}prox_hotelonly_time {c |}{col 22}{res}{space 2}-.0129407{col 34}{space 2} .0058363{col 45}{space 1}   -2.22{col 54}{space 3}0.027{col 62}{space 4}  -.02438{col 75}{space 3}-.0015014
{txt}prox_hotelonly_time2 {c |}{col 22}{res}{space 2} .0313226{col 34}{space 2} .0115004{col 45}{space 1}    2.72{col 54}{space 3}0.006{col 62}{space 4} .0087818{col 75}{space 3} .0538635
{txt}prox_hotelonly_time3 {c |}{col 22}{res}{space 2}-.0191298{col 34}{space 2} .0063607{col 45}{space 1}   -3.01{col 54}{space 3}0.003{col 62}{space 4}-.0315967{col 75}{space 3}-.0066628
{txt}{space 6}prox_hotelonly {c |}{col 22}{res}{space 2} .0019014{col 34}{space 2} .0007781{col 45}{space 1}    2.44{col 54}{space 3}0.015{col 62}{space 4} .0003764{col 75}{space 3} .0034265
{txt}{space 16}time {c |}{col 22}{res}{space 2}  .070198{col 34}{space 2} .0343829{col 45}{space 1}    2.04{col 54}{space 3}0.041{col 62}{space 4} .0028073{col 75}{space 3} .1375888
{txt}{space 15}time2 {c |}{col 22}{res}{space 2}-.1750268{col 34}{space 2} .0675221{col 45}{space 1}   -2.59{col 54}{space 3}0.010{col 62}{space 4}-.3073705{col 75}{space 3}-.0426832
{txt}{space 15}time3 {c |}{col 22}{res}{space 2} .1082342{col 34}{space 2} .0372545{col 45}{space 1}    2.91{col 54}{space 3}0.004{col 62}{space 4} .0352151{col 75}{space 3} .1812532
{txt}{space 10}lnpop_1970 {c |}{col 22}{res}{space 2} .0011734{col 34}{space 2} .0002251{col 45}{space 1}    5.21{col 54}{space 3}0.000{col 62}{space 4} .0007321{col 75}{space 3} .0016147
{txt}{space 8}vote_frejuli {c |}{col 22}{res}{space 2}-.0001713{col 34}{space 2} .0000328{col 45}{space 1}   -5.22{col 54}{space 3}0.000{col 62}{space 4}-.0002357{col 75}{space 3} -.000107
{txt}{space 8}literacy_avg {c |}{col 22}{res}{space 2} -.010997{col 34}{space 2}  .001327{col 45}{space 1}   -8.29{col 54}{space 3}0.000{col 62}{space 4} -.013598{col 75}{space 3} -.008396
{txt}{space 8}lnrebact1974 {c |}{col 22}{res}{space 2}-.0010463{col 34}{space 2} .0002186{col 45}{space 1}   -4.79{col 54}{space 3}0.000{col 62}{space 4}-.0014747{col 75}{space 3}-.0006178
{txt}{space 3}lnrepression70_77 {c |}{col 22}{res}{space 2} .0063334{col 34}{space 2}  .000527{col 45}{space 1}   12.02{col 54}{space 3}0.000{col 62}{space 4} .0053005{col 75}{space 3} .0073663
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-.0054622{col 34}{space 2} .0050893{col 45}{space 1}   -1.07{col 54}{space 3}0.283{col 62}{space 4}-.0154372{col 75}{space 3} .0045129
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 
.         *Model 6
.         reg lnrepression prox_hotelonly_time prox_hotelonly_time2 prox_hotelonly_time3 prox_hotelonly time time2 time3 lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77 zone2-zone5, robust                  

{txt}Linear regression                               Number of obs     = {res}    56,394
                                                {txt}F(16, 56377)      =  {res}    11.08
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0396
                                                {txt}Root MSE          =    {res} .05244

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}        lnrepression{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}prox_hotelonly_time {c |}{col 22}{res}{space 2}-.0129407{col 34}{space 2} .0058151{col 45}{space 1}   -2.23{col 54}{space 3}0.026{col 62}{space 4}-.0243383{col 75}{space 3} -.001543
{txt}prox_hotelonly_time2 {c |}{col 22}{res}{space 2} .0313226{col 34}{space 2} .0114551{col 45}{space 1}    2.73{col 54}{space 3}0.006{col 62}{space 4} .0088706{col 75}{space 3} .0537747
{txt}prox_hotelonly_time3 {c |}{col 22}{res}{space 2}-.0191298{col 34}{space 2} .0063346{col 45}{space 1}   -3.02{col 54}{space 3}0.003{col 62}{space 4}-.0315456{col 75}{space 3}-.0067139
{txt}{space 6}prox_hotelonly {c |}{col 22}{res}{space 2}  .001938{col 34}{space 2} .0007776{col 45}{space 1}    2.49{col 54}{space 3}0.013{col 62}{space 4}  .000414{col 75}{space 3} .0034621
{txt}{space 16}time {c |}{col 22}{res}{space 2}  .070198{col 34}{space 2}  .034278{col 45}{space 1}    2.05{col 54}{space 3}0.041{col 62}{space 4}  .003013{col 75}{space 3} .1373831
{txt}{space 15}time2 {c |}{col 22}{res}{space 2}-.1750268{col 34}{space 2} .0672933{col 45}{space 1}   -2.60{col 54}{space 3}0.009{col 62}{space 4}-.3069221{col 75}{space 3}-.0431316
{txt}{space 15}time3 {c |}{col 22}{res}{space 2} .1082342{col 34}{space 2}  .037122{col 45}{space 1}    2.92{col 54}{space 3}0.004{col 62}{space 4} .0354748{col 75}{space 3} .1809936
{txt}{space 10}lnpop_1970 {c |}{col 22}{res}{space 2} .0033776{col 34}{space 2} .0004342{col 45}{space 1}    7.78{col 54}{space 3}0.000{col 62}{space 4} .0025265{col 75}{space 3} .0042286
{txt}{space 8}vote_frejuli {c |}{col 22}{res}{space 2}-.0001328{col 34}{space 2} .0000367{col 45}{space 1}   -3.61{col 54}{space 3}0.000{col 62}{space 4}-.0002048{col 75}{space 3}-.0000607
{txt}{space 8}literacy_avg {c |}{col 22}{res}{space 2}-.0291016{col 34}{space 2} .0030746{col 45}{space 1}   -9.47{col 54}{space 3}0.000{col 62}{space 4}-.0351278{col 75}{space 3}-.0230755
{txt}{space 8}lnrebact1974 {c |}{col 22}{res}{space 2}-.0021658{col 34}{space 2} .0002891{col 45}{space 1}   -7.49{col 54}{space 3}0.000{col 62}{space 4}-.0027325{col 75}{space 3}-.0015992
{txt}{space 3}lnrepression70_77 {c |}{col 22}{res}{space 2}  .005746{col 34}{space 2} .0005153{col 45}{space 1}   11.15{col 54}{space 3}0.000{col 62}{space 4} .0047359{col 75}{space 3} .0067561
{txt}{space 15}zone2 {c |}{col 22}{res}{space 2}-.0143051{col 34}{space 2} .0015682{col 45}{space 1}   -9.12{col 54}{space 3}0.000{col 62}{space 4}-.0173789{col 75}{space 3}-.0112314
{txt}{space 15}zone3 {c |}{col 22}{res}{space 2}-.0110197{col 34}{space 2} .0012844{col 45}{space 1}   -8.58{col 54}{space 3}0.000{col 62}{space 4}-.0135371{col 75}{space 3}-.0085022
{txt}{space 15}zone4 {c |}{col 22}{res}{space 2}-.0174823{col 34}{space 2} .0041183{col 45}{space 1}   -4.25{col 54}{space 3}0.000{col 62}{space 4}-.0255541{col 75}{space 3}-.0094104
{txt}{space 15}zone5 {c |}{col 22}{res}{space 2}-.0080956{col 34}{space 2} .0009685{col 45}{space 1}   -8.36{col 54}{space 3}0.000{col 62}{space 4}-.0099939{col 75}{space 3}-.0061972
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-.0049729{col 34}{space 2} .0054736{col 45}{space 1}   -0.91{col 54}{space 3}0.364{col 62}{space 4}-.0157013{col 75}{space 3} .0057554
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         
.         
.         ****************************************************************************
.         *Table SI.5.3: Regression results for proximity to nearest journalist venue (journalist hotel, team hotel, or press venue)
.         ****************************************************************************                    
.         
.         *Model 1
.         nbreg repression prox_hotelpress_time prox_hotelpress_time2 prox_hotelpress_time3 prox_hotelpress time time2 time3, robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1556.6108}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1503.9876}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1500.2863}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1500.2102}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1500.2102}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -1843.669}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1500.2738}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1499.8186}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1499.8185}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1499.8185}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1499.8185}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res: -1454.896}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1441.9935}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1342.0266}  (backed up)
Iteration 4:{space 3}log pseudolikelihood = {res:-1289.2142}  
Iteration 5:{space 3}log pseudolikelihood = {res: -1267.269}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1266.8492}  
Iteration 7:{space 3}log pseudolikelihood = {res:-1266.8488}  
Iteration 8:{space 3}log pseudolikelihood = {res:-1266.8488}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}    58,107
{txt}{col 49}Wald chi2({res}7{txt}){col 67}= {res}     56.81
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1266.8488{txt}{col 49}Pseudo R2{col 67}= {res}    0.1553

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}           repression{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      z{col 55}   P>|z|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}prox_hotelpress_time {c |}{col 23}{res}{space 2} 4.099578{col 35}{space 2}  5.36201{col 46}{space 1}    0.76{col 55}{space 3}0.445{col 63}{space 4}-6.409769{col 76}{space 3} 14.60892
{txt}prox_hotelpress_time2 {c |}{col 23}{res}{space 2}  .498472{col 35}{space 2}  12.9573{col 46}{space 1}    0.04{col 55}{space 3}0.969{col 63}{space 4}-24.89737{col 76}{space 3} 25.89432
{txt}prox_hotelpress_time3 {c |}{col 23}{res}{space 2}-2.870687{col 35}{space 2} 7.862315{col 46}{space 1}   -0.37{col 55}{space 3}0.715{col 63}{space 4}-18.28054{col 76}{space 3} 12.53917
{txt}{space 6}prox_hotelpress {c |}{col 23}{res}{space 2} .7943349{col 35}{space 2} .4318019{col 46}{space 1}    1.84{col 55}{space 3}0.066{col 63}{space 4}-.0519813{col 76}{space 3} 1.640651
{txt}{space 17}time {c |}{col 23}{res}{space 2}-42.37346{col 35}{space 2} 47.84681{col 46}{space 1}   -0.89{col 55}{space 3}0.376{col 63}{space 4}-136.1515{col 76}{space 3} 51.40456
{txt}{space 16}time2 {c |}{col 23}{res}{space 2} 8.261894{col 35}{space 2} 116.1984{col 46}{space 1}    0.07{col 55}{space 3}0.943{col 63}{space 4}-219.4828{col 76}{space 3} 236.0066
{txt}{space 16}time3 {c |}{col 23}{res}{space 2} 18.13563{col 35}{space 2}  70.5887{col 46}{space 1}    0.26{col 55}{space 3}0.797{col 63}{space 4}-120.2157{col 76}{space 3} 156.4869
{txt}{space 16}_cons {c |}{col 23}{res}{space 2}-10.90235{col 35}{space 2} 3.784977{col 46}{space 1}   -2.88{col 55}{space 3}0.004{col 63}{space 4}-18.32077{col 76}{space 3}-3.483935
{txt}{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}/lnalpha {c |}{col 23}{res}{space 2} 3.457144{col 35}{space 2}  .218373{col 63}{space 4} 3.029141{col 76}{space 3} 3.885148
{txt}{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                alpha {c |}{col 23}{res}{space 2} 31.72625{col 35}{space 2} 6.928157{col 63}{space 4} 20.67947{col 76}{space 3} 48.67413
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         
.         *Model 2
.         nbreg repression prox_hotelpress_time prox_hotelpress_time2 prox_hotelpress_time3 prox_hotelpress time time2 time3 lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77, robust

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1906.9095}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1693.8184}  (backed up)
Iteration 2:{space 3}log pseudolikelihood = {res: -1274.055}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1124.0174}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1111.2314}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1109.7997}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1109.7824}  
Iteration 7:{space 3}log pseudolikelihood = {res:-1109.7824}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -1829.657}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1488.4935}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1487.9062}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1487.9059}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1487.9059}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1402.2926}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1224.4002}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1215.8008}  (not concave)
Iteration 3:{space 3}log pseudolikelihood = {res:-1113.7552}  (not concave)
Iteration 4:{space 3}log pseudolikelihood = {res:-1057.1586}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1022.5616}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1017.1896}  
Iteration 7:{space 3}log pseudolikelihood = {res:-1017.1183}  
Iteration 8:{space 3}log pseudolikelihood = {res:-1017.1183}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}    56,394
{txt}{col 49}Wald chi2({res}12{txt}){col 67}= {res}    519.44
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1017.1183{txt}{col 49}Pseudo R2{col 67}= {res}    0.3164

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}           repression{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      z{col 55}   P>|z|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}prox_hotelpress_time {c |}{col 23}{res}{space 2} 1.692399{col 35}{space 2} 2.261146{col 46}{space 1}    0.75{col 55}{space 3}0.454{col 63}{space 4}-2.739367{col 76}{space 3} 6.124164
{txt}prox_hotelpress_time2 {c |}{col 23}{res}{space 2}-.1186774{col 35}{space 2} 5.069536{col 46}{space 1}   -0.02{col 55}{space 3}0.981{col 63}{space 4}-10.05479{col 76}{space 3} 9.817431
{txt}prox_hotelpress_time3 {c |}{col 23}{res}{space 2}-.8780631{col 35}{space 2} 2.981251{col 46}{space 1}   -0.29{col 55}{space 3}0.768{col 63}{space 4}-6.721208{col 76}{space 3} 4.965082
{txt}{space 6}prox_hotelpress {c |}{col 23}{res}{space 2} -.081577{col 35}{space 2} .2135205{col 46}{space 1}   -0.38{col 55}{space 3}0.702{col 63}{space 4}-.5000696{col 76}{space 3} .3369156
{txt}{space 17}time {c |}{col 23}{res}{space 2} -21.1586{col 35}{space 2}  19.7487{col 46}{space 1}   -1.07{col 55}{space 3}0.284{col 63}{space 4}-59.86533{col 76}{space 3} 17.54814
{txt}{space 16}time2 {c |}{col 23}{res}{space 2} 13.65217{col 35}{space 2} 44.43546{col 46}{space 1}    0.31{col 55}{space 3}0.759{col 63}{space 4}-73.43972{col 76}{space 3} 100.7441
{txt}{space 16}time3 {c |}{col 23}{res}{space 2} .6399475{col 35}{space 2}  26.1342{col 46}{space 1}    0.02{col 55}{space 3}0.980{col 63}{space 4}-50.58215{col 76}{space 3} 51.86204
{txt}{space 11}lnpop_1970 {c |}{col 23}{res}{space 2} .2631462{col 35}{space 2}  .256134{col 46}{space 1}    1.03{col 55}{space 3}0.304{col 63}{space 4}-.2388673{col 76}{space 3} .7651596
{txt}{space 9}vote_frejuli {c |}{col 23}{res}{space 2} .0313357{col 35}{space 2} .0129906{col 46}{space 1}    2.41{col 55}{space 3}0.016{col 63}{space 4} .0058746{col 76}{space 3} .0567968
{txt}{space 9}literacy_avg {c |}{col 23}{res}{space 2} .0601576{col 35}{space 2} 3.651317{col 46}{space 1}    0.02{col 55}{space 3}0.987{col 63}{space 4}-7.096291{col 76}{space 3} 7.216606
{txt}{space 9}lnrebact1974 {c |}{col 23}{res}{space 2}-.0236959{col 35}{space 2} .0816148{col 46}{space 1}   -0.29{col 55}{space 3}0.772{col 63}{space 4} -.183658{col 76}{space 3} .1362663
{txt}{space 4}lnrepression70_77 {c |}{col 23}{res}{space 2} .8070118{col 35}{space 2} .2088109{col 46}{space 1}    3.86{col 55}{space 3}0.000{col 63}{space 4} .3977498{col 76}{space 3} 1.216274
{txt}{space 16}_cons {c |}{col 23}{res}{space 2}-10.88194{col 35}{space 2}  3.82148{col 46}{space 1}   -2.85{col 55}{space 3}0.004{col 63}{space 4} -18.3719{col 76}{space 3}-3.391979
{txt}{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}/lnalpha {c |}{col 23}{res}{space 2} 1.950977{col 35}{space 2} .2980096{col 63}{space 4} 1.366889{col 76}{space 3} 2.535065
{txt}{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                alpha {c |}{col 23}{res}{space 2} 7.035561{col 35}{space 2} 2.096665{col 63}{space 4} 3.923129{col 76}{space 3} 12.61726
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.                 
.         *Model 3
.         nbreg repression prox_hotelpress_time prox_hotelpress_time2 prox_hotelpress_time3 prox_hotelpress time time2 time3 lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77 zone2-zone5, robust                      

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2508.5595}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2236.3811}  (backed up)
Iteration 2:{space 3}log pseudolikelihood = {res:-2021.1947}  (backed up)
Iteration 3:{space 3}log pseudolikelihood = {res:-1509.1315}  (backed up)
Iteration 4:{space 3}log pseudolikelihood = {res:-1204.7108}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1090.1661}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1085.4537}  
Iteration 7:{space 3}log pseudolikelihood = {res:-1085.4378}  
Iteration 8:{space 3}log pseudolikelihood = {res:-1085.4378}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -1829.657}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1488.4935}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1487.9062}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1487.9059}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1487.9059}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1397.6899}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1224.8056}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1038.8642}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1011.1467}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1003.8443}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1003.6073}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1003.6071}  
Iteration 7:{space 3}log pseudolikelihood = {res:-1003.6071}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}    56,394
{txt}{col 49}Wald chi2({res}16{txt}){col 67}= {res}    730.25
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1003.6071{txt}{col 49}Pseudo R2{col 67}= {res}    0.3255

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}           repression{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      z{col 55}   P>|z|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}prox_hotelpress_time {c |}{col 23}{res}{space 2} 1.681918{col 35}{space 2} 2.195282{col 46}{space 1}    0.77{col 55}{space 3}0.444{col 63}{space 4}-2.620757{col 76}{space 3} 5.984592
{txt}prox_hotelpress_time2 {c |}{col 23}{res}{space 2}-.1947005{col 35}{space 2} 4.889643{col 46}{space 1}   -0.04{col 55}{space 3}0.968{col 63}{space 4}-9.778225{col 76}{space 3} 9.388825
{txt}prox_hotelpress_time3 {c |}{col 23}{res}{space 2}-.8224568{col 35}{space 2} 2.874291{col 46}{space 1}   -0.29{col 55}{space 3}0.775{col 63}{space 4}-6.455964{col 76}{space 3}  4.81105
{txt}{space 6}prox_hotelpress {c |}{col 23}{res}{space 2}-.0521845{col 35}{space 2} .2415503{col 46}{space 1}   -0.22{col 55}{space 3}0.829{col 63}{space 4}-.5256144{col 76}{space 3} .4212454
{txt}{space 17}time {c |}{col 23}{res}{space 2}-20.96758{col 35}{space 2} 19.09468{col 46}{space 1}   -1.10{col 55}{space 3}0.272{col 63}{space 4}-58.39247{col 76}{space 3}  16.4573
{txt}{space 16}time2 {c |}{col 23}{res}{space 2} 14.19117{col 35}{space 2} 42.69007{col 46}{space 1}    0.33{col 55}{space 3}0.740{col 63}{space 4}-69.47983{col 76}{space 3} 97.86217
{txt}{space 16}time3 {c |}{col 23}{res}{space 2} .1913217{col 35}{space 2} 25.10914{col 46}{space 1}    0.01{col 55}{space 3}0.994{col 63}{space 4}-49.02169{col 76}{space 3} 49.40433
{txt}{space 11}lnpop_1970 {c |}{col 23}{res}{space 2} .2470993{col 35}{space 2} .2450462{col 46}{space 1}    1.01{col 55}{space 3}0.313{col 63}{space 4}-.2331824{col 76}{space 3}  .727381
{txt}{space 9}vote_frejuli {c |}{col 23}{res}{space 2} .0350534{col 35}{space 2} .0129013{col 46}{space 1}    2.72{col 55}{space 3}0.007{col 63}{space 4} .0097673{col 76}{space 3} .0603394
{txt}{space 9}literacy_avg {c |}{col 23}{res}{space 2} .1050698{col 35}{space 2} 3.196073{col 46}{space 1}    0.03{col 55}{space 3}0.974{col 63}{space 4}-6.159118{col 76}{space 3} 6.369257
{txt}{space 9}lnrebact1974 {c |}{col 23}{res}{space 2}-.1798341{col 35}{space 2}   .06991{col 46}{space 1}   -2.57{col 55}{space 3}0.010{col 63}{space 4}-.3168552{col 76}{space 3} -.042813
{txt}{space 4}lnrepression70_77 {c |}{col 23}{res}{space 2} .7864651{col 35}{space 2} .2137015{col 46}{space 1}    3.68{col 55}{space 3}0.000{col 63}{space 4} .3676179{col 76}{space 3} 1.205312
{txt}{space 16}zone2 {c |}{col 23}{res}{space 2}-1.795421{col 35}{space 2} .4231961{col 46}{space 1}   -4.24{col 55}{space 3}0.000{col 63}{space 4} -2.62487{col 76}{space 3}-.9659724
{txt}{space 16}zone3 {c |}{col 23}{res}{space 2}-.7903348{col 35}{space 2} .2674253{col 46}{space 1}   -2.96{col 55}{space 3}0.003{col 63}{space 4}-1.314479{col 76}{space 3}-.2661908
{txt}{space 16}zone4 {c |}{col 23}{res}{space 2}-.5106328{col 35}{space 2} .2739808{col 46}{space 1}   -1.86{col 55}{space 3}0.062{col 63}{space 4}-1.047625{col 76}{space 3} .0263597
{txt}{space 16}zone5 {c |}{col 23}{res}{space 2}-.0905158{col 35}{space 2} .6405535{col 46}{space 1}   -0.14{col 55}{space 3}0.888{col 63}{space 4}-1.345978{col 76}{space 3} 1.164946
{txt}{space 16}_cons {c |}{col 23}{res}{space 2}-10.14922{col 35}{space 2} 3.947672{col 46}{space 1}   -2.57{col 55}{space 3}0.010{col 63}{space 4}-17.88652{col 76}{space 3}-2.411926
{txt}{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}/lnalpha {c |}{col 23}{res}{space 2} 1.803417{col 35}{space 2} .3137016{col 63}{space 4} 1.188573{col 76}{space 3} 2.418261
{txt}{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                alpha {c |}{col 23}{res}{space 2} 6.070355{col 35}{space 2}  1.90428{col 63}{space 4} 3.282394{col 76}{space 3} 11.22632
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         
.         *Model 4
.         reg lnrepression prox_hotelpress_time prox_hotelpress_time2 prox_hotelpress_time3 prox_hotelpress time time2 time3, robust

{txt}Linear regression                               Number of obs     = {res}    58,107
                                                {txt}F(7, 58099)       =  {res}    21.97
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0048
                                                {txt}Root MSE          =    {res} .05266

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}         lnrepression{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}prox_hotelpress_time {c |}{col 23}{res}{space 2}-.0121453{col 35}{space 2} .0057356{col 46}{space 1}   -2.12{col 55}{space 3}0.034{col 63}{space 4} -.023387{col 76}{space 3}-.0009035
{txt}prox_hotelpress_time2 {c |}{col 23}{res}{space 2} .0291904{col 35}{space 2} .0113075{col 46}{space 1}    2.58{col 55}{space 3}0.010{col 63}{space 4} .0070276{col 76}{space 3} .0513533
{txt}prox_hotelpress_time3 {c |}{col 23}{res}{space 2}-.0177286{col 35}{space 2} .0062657{col 46}{space 1}   -2.83{col 55}{space 3}0.005{col 63}{space 4}-.0300095{col 76}{space 3}-.0054477
{txt}{space 6}prox_hotelpress {c |}{col 23}{res}{space 2} .0030182{col 35}{space 2} .0007865{col 46}{space 1}    3.84{col 55}{space 3}0.000{col 63}{space 4} .0014767{col 76}{space 3} .0045597
{txt}{space 17}time {c |}{col 23}{res}{space 2}  .066091{col 35}{space 2}  .034212{col 46}{space 1}    1.93{col 55}{space 3}0.053{col 63}{space 4}-.0009648{col 76}{space 3} .1331467
{txt}{space 16}time2 {c |}{col 23}{res}{space 2}-.1634375{col 35}{space 2} .0672349{col 46}{space 1}   -2.43{col 55}{space 3}0.015{col 63}{space 4}-.2952183{col 76}{space 3}-.0316567
{txt}{space 16}time3 {c |}{col 23}{res}{space 2} .1004087{col 35}{space 2} .0371828{col 46}{space 1}    2.70{col 55}{space 3}0.007{col 63}{space 4} .0275302{col 76}{space 3} .1732871
{txt}{space 16}_cons {c |}{col 23}{res}{space 2}-.0164699{col 35}{space 2} .0047134{col 46}{space 1}   -3.49{col 55}{space 3}0.000{col 63}{space 4}-.0257082{col 76}{space 3}-.0072315
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         *Model 5
.         reg lnrepression prox_hotelpress_time prox_hotelpress_time2 prox_hotelpress_time3 prox_hotelpress time time2 time3 lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77, robust

{txt}Linear regression                               Number of obs     = {res}    56,394
                                                {txt}F(12, 56381)      =  {res}    14.09
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0341
                                                {txt}Root MSE          =    {res} .05259

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}         lnrepression{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}prox_hotelpress_time {c |}{col 23}{res}{space 2}-.0123321{col 35}{space 2} .0056846{col 46}{space 1}   -2.17{col 55}{space 3}0.030{col 63}{space 4} -.023474{col 76}{space 3}-.0011902
{txt}prox_hotelpress_time2 {c |}{col 23}{res}{space 2} .0296563{col 35}{space 2} .0112224{col 46}{space 1}    2.64{col 55}{space 3}0.008{col 63}{space 4} .0076602{col 76}{space 3} .0516523
{txt}prox_hotelpress_time3 {c |}{col 23}{res}{space 2}-.0180132{col 35}{space 2} .0062264{col 46}{space 1}   -2.89{col 55}{space 3}0.004{col 63}{space 4}-.0302169{col 76}{space 3}-.0058095
{txt}{space 6}prox_hotelpress {c |}{col 23}{res}{space 2} .0017776{col 35}{space 2} .0007567{col 46}{space 1}    2.35{col 55}{space 3}0.019{col 63}{space 4} .0002945{col 76}{space 3} .0032607
{txt}{space 17}time {c |}{col 23}{res}{space 2} .0669117{col 35}{space 2} .0337609{col 46}{space 1}    1.98{col 55}{space 3}0.047{col 63}{space 4} .0007402{col 76}{space 3} .1330833
{txt}{space 16}time2 {c |}{col 23}{res}{space 2}-.1657062{col 35}{space 2} .0664337{col 46}{space 1}   -2.49{col 55}{space 3}0.013{col 63}{space 4}-.2959167{col 76}{space 3}-.0354957
{txt}{space 16}time3 {c |}{col 23}{res}{space 2} .1018433{col 35}{space 2} .0367843{col 46}{space 1}    2.77{col 55}{space 3}0.006{col 63}{space 4} .0297458{col 76}{space 3} .1739408
{txt}{space 11}lnpop_1970 {c |}{col 23}{res}{space 2} .0011894{col 35}{space 2} .0002262{col 46}{space 1}    5.26{col 55}{space 3}0.000{col 63}{space 4}  .000746{col 76}{space 3} .0016327
{txt}{space 9}vote_frejuli {c |}{col 23}{res}{space 2}-.0001697{col 35}{space 2} .0000328{col 46}{space 1}   -5.18{col 55}{space 3}0.000{col 63}{space 4}-.0002339{col 76}{space 3}-.0001054
{txt}{space 9}literacy_avg {c |}{col 23}{res}{space 2}-.0106155{col 35}{space 2} .0012925{col 46}{space 1}   -8.21{col 55}{space 3}0.000{col 63}{space 4}-.0131487{col 76}{space 3}-.0080822
{txt}{space 9}lnrebact1974 {c |}{col 23}{res}{space 2}-.0010328{col 35}{space 2} .0002185{col 46}{space 1}   -4.73{col 55}{space 3}0.000{col 63}{space 4}-.0014611{col 76}{space 3}-.0006046
{txt}{space 4}lnrepression70_77 {c |}{col 23}{res}{space 2} .0063311{col 35}{space 2} .0005269{col 46}{space 1}   12.02{col 55}{space 3}0.000{col 63}{space 4} .0052984{col 76}{space 3} .0073638
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} -.005284{col 35}{space 2} .0050097{col 46}{space 1}   -1.05{col 55}{space 3}0.292{col 63}{space 4}-.0151031{col 76}{space 3} .0045351
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 
.         *Model 6
.         reg lnrepression prox_hotelpress_time prox_hotelpress_time2 prox_hotelpress_time3 prox_hotelpress time time2 time3 lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77 zone2-zone5, robust                      

{txt}Linear regression                               Number of obs     = {res}    56,394
                                                {txt}F(16, 56377)      =  {res}    11.09
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0394
                                                {txt}Root MSE          =    {res} .05244

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}         lnrepression{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}prox_hotelpress_time {c |}{col 23}{res}{space 2}-.0123321{col 35}{space 2} .0056648{col 46}{space 1}   -2.18{col 55}{space 3}0.029{col 63}{space 4}-.0234352{col 76}{space 3} -.001229
{txt}prox_hotelpress_time2 {c |}{col 23}{res}{space 2} .0296563{col 35}{space 2} .0111799{col 46}{space 1}    2.65{col 55}{space 3}0.008{col 63}{space 4} .0077437{col 76}{space 3} .0515688
{txt}prox_hotelpress_time3 {c |}{col 23}{res}{space 2}-.0180132{col 35}{space 2} .0062017{col 46}{space 1}   -2.90{col 55}{space 3}0.004{col 63}{space 4}-.0301686{col 76}{space 3}-.0058579
{txt}{space 6}prox_hotelpress {c |}{col 23}{res}{space 2} .0017102{col 35}{space 2} .0007539{col 46}{space 1}    2.27{col 55}{space 3}0.023{col 63}{space 4} .0002325{col 76}{space 3}  .003188
{txt}{space 17}time {c |}{col 23}{res}{space 2} .0669118{col 35}{space 2} .0336629{col 46}{space 1}    1.99{col 55}{space 3}0.047{col 63}{space 4} .0009322{col 76}{space 3} .1328913
{txt}{space 16}time2 {c |}{col 23}{res}{space 2}-.1657062{col 35}{space 2} .0662183{col 46}{space 1}   -2.50{col 55}{space 3}0.012{col 63}{space 4}-.2954946{col 76}{space 3}-.0359179
{txt}{space 16}time3 {c |}{col 23}{res}{space 2} .1018433{col 35}{space 2} .0366584{col 46}{space 1}    2.78{col 55}{space 3}0.005{col 63}{space 4} .0299925{col 76}{space 3} .1736941
{txt}{space 11}lnpop_1970 {c |}{col 23}{res}{space 2} .0033918{col 35}{space 2} .0004353{col 46}{space 1}    7.79{col 55}{space 3}0.000{col 63}{space 4} .0025387{col 76}{space 3} .0042449
{txt}{space 9}vote_frejuli {c |}{col 23}{res}{space 2}-.0001354{col 35}{space 2} .0000369{col 46}{space 1}   -3.67{col 55}{space 3}0.000{col 63}{space 4}-.0002077{col 76}{space 3}-.0000632
{txt}{space 9}literacy_avg {c |}{col 23}{res}{space 2} -.028723{col 35}{space 2} .0030432{col 46}{space 1}   -9.44{col 55}{space 3}0.000{col 63}{space 4}-.0346877{col 76}{space 3}-.0227583
{txt}{space 9}lnrebact1974 {c |}{col 23}{res}{space 2}-.0021169{col 35}{space 2} .0002859{col 46}{space 1}   -7.41{col 55}{space 3}0.000{col 63}{space 4}-.0026772{col 76}{space 3}-.0015566
{txt}{space 4}lnrepression70_77 {c |}{col 23}{res}{space 2} .0057585{col 35}{space 2} .0005162{col 46}{space 1}   11.16{col 55}{space 3}0.000{col 63}{space 4} .0047467{col 76}{space 3} .0067703
{txt}{space 16}zone2 {c |}{col 23}{res}{space 2}-.0143589{col 35}{space 2} .0015726{col 46}{space 1}   -9.13{col 55}{space 3}0.000{col 63}{space 4}-.0174412{col 76}{space 3}-.0112765
{txt}{space 16}zone3 {c |}{col 23}{res}{space 2}-.0108381{col 35}{space 2} .0012708{col 46}{space 1}   -8.53{col 55}{space 3}0.000{col 63}{space 4}-.0133289{col 76}{space 3}-.0083472
{txt}{space 16}zone4 {c |}{col 23}{res}{space 2}-.0174593{col 35}{space 2} .0041193{col 46}{space 1}   -4.24{col 55}{space 3}0.000{col 63}{space 4}-.0255331{col 76}{space 3}-.0093855
{txt}{space 16}zone5 {c |}{col 23}{res}{space 2}-.0083743{col 35}{space 2}  .000988{col 46}{space 1}   -8.48{col 55}{space 3}0.000{col 63}{space 4}-.0103108{col 76}{space 3}-.0064378
{txt}{space 16}_cons {c |}{col 23}{res}{space 2}-.0038914{col 35}{space 2} .0053892{col 46}{space 1}   -0.72{col 55}{space 3}0.470{col 63}{space 4}-.0144542{col 76}{space 3} .0066714
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
.         
.         
.         ****************************************************************************
.         *Table SI.6.1: Linear regressions (OLS) with biweekly time interactions in full analysis window (March - September 1978)
.         ****************************************************************************                    
. 
.         *Model 1
.         reg lnrepression hcXbiweek2-hcXbiweek15 hostcity biweek2-biweek15, robust

{txt}Linear regression                               Number of obs     = {res}   101,523
                                                {txt}F(29, 101493)     =  {res}     5.44
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0616
                                                {txt}Root MSE          =    {res}   .049

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}lnrepression{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}hcXbiweek2 {c |}{col 14}{res}{space 2} .0356745{col 26}{space 2}  .041895{col 37}{space 1}    0.85{col 46}{space 3}0.394{col 54}{space 4}-.0464393{col 67}{space 3} .1177882
{txt}{space 2}hcXbiweek3 {c |}{col 14}{res}{space 2} .0277811{col 26}{space 2} .0433121{col 37}{space 1}    0.64{col 46}{space 3}0.521{col 54}{space 4}-.0571101{col 67}{space 3} .1126723
{txt}{space 2}hcXbiweek4 {c |}{col 14}{res}{space 2} .0394506{col 26}{space 2} .0455995{col 37}{space 1}    0.87{col 46}{space 3}0.387{col 54}{space 4}-.0499238{col 67}{space 3}  .128825
{txt}{space 2}hcXbiweek5 {c |}{col 14}{res}{space 2} .1521235{col 26}{space 2} .0616005{col 37}{space 1}    2.47{col 46}{space 3}0.014{col 54}{space 4} .0313873{col 67}{space 3} .2728597
{txt}{space 2}hcXbiweek6 {c |}{col 14}{res}{space 2} .1337298{col 26}{space 2} .0594832{col 37}{space 1}    2.25{col 46}{space 3}0.025{col 54}{space 4} .0171436{col 67}{space 3} .2503161
{txt}{space 2}hcXbiweek7 {c |}{col 14}{res}{space 2} .0821079{col 26}{space 2} .0463509{col 37}{space 1}    1.77{col 46}{space 3}0.076{col 54}{space 4}-.0087393{col 67}{space 3} .1729551
{txt}{space 2}hcXbiweek8 {c |}{col 14}{res}{space 2}-.0450145{col 26}{space 2} .0298062{col 37}{space 1}   -1.51{col 46}{space 3}0.131{col 54}{space 4}-.1034342{col 67}{space 3} .0134053
{txt}{space 2}hcXbiweek9 {c |}{col 14}{res}{space 2} .1373766{col 26}{space 2}  .061198{col 37}{space 1}    2.24{col 46}{space 3}0.025{col 54}{space 4} .0174293{col 67}{space 3} .2573239
{txt}{space 1}hcXbiweek10 {c |}{col 14}{res}{space 2} .1175183{col 26}{space 2} .0578036{col 37}{space 1}    2.03{col 46}{space 3}0.042{col 54}{space 4}  .004224{col 67}{space 3} .2308125
{txt}{space 1}hcXbiweek11 {c |}{col 14}{res}{space 2} .0989783{col 26}{space 2} .0533867{col 37}{space 1}    1.85{col 46}{space 3}0.064{col 54}{space 4}-.0056589{col 67}{space 3} .2036155
{txt}{space 1}hcXbiweek12 {c |}{col 14}{res}{space 2} .0442938{col 26}{space 2}  .047052{col 37}{space 1}    0.94{col 46}{space 3}0.347{col 54}{space 4}-.0479275{col 67}{space 3} .1365152
{txt}{space 1}hcXbiweek13 {c |}{col 14}{res}{space 2} .0229581{col 26}{space 2}   .04401{col 37}{space 1}    0.52{col 46}{space 3}0.602{col 54}{space 4}-.0633009{col 67}{space 3} .1092171
{txt}{space 1}hcXbiweek14 {c |}{col 14}{res}{space 2}-.0140643{col 26}{space 2} .0340803{col 37}{space 1}   -0.41{col 46}{space 3}0.680{col 54}{space 4}-.0808614{col 67}{space 3} .0527327
{txt}{space 1}hcXbiweek15 {c |}{col 14}{res}{space 2} .0150045{col 26}{space 2} .0432803{col 37}{space 1}    0.35{col 46}{space 3}0.729{col 54}{space 4}-.0698244{col 67}{space 3} .0998333
{txt}{space 4}hostcity {c |}{col 14}{res}{space 2} .0531716{col 26}{space 2} .0281335{col 37}{space 1}    1.89{col 46}{space 3}0.059{col 54}{space 4}-.0019697{col 67}{space 3}  .108313
{txt}{space 5}biweek2 {c |}{col 14}{res}{space 2}-.0001758{col 26}{space 2} .0007646{col 37}{space 1}   -0.23{col 46}{space 3}0.818{col 54}{space 4}-.0016743{col 67}{space 3} .0013227
{txt}{space 5}biweek3 {c |}{col 14}{res}{space 2}-.0005019{col 26}{space 2} .0007138{col 37}{space 1}   -0.70{col 46}{space 3}0.482{col 54}{space 4}-.0019009{col 67}{space 3} .0008971
{txt}{space 5}biweek4 {c |}{col 14}{res}{space 2}-.0007642{col 26}{space 2} .0007027{col 37}{space 1}   -1.09{col 46}{space 3}0.277{col 54}{space 4}-.0021415{col 67}{space 3} .0006131
{txt}{space 5}biweek5 {c |}{col 14}{res}{space 2}-.0013262{col 26}{space 2} .0006386{col 37}{space 1}   -2.08{col 46}{space 3}0.038{col 54}{space 4}-.0025778{col 67}{space 3}-.0000746
{txt}{space 5}biweek6 {c |}{col 14}{res}{space 2} .0015505{col 26}{space 2} .0009183{col 37}{space 1}    1.69{col 46}{space 3}0.091{col 54}{space 4}-.0002493{col 67}{space 3} .0033503
{txt}{space 5}biweek7 {c |}{col 14}{res}{space 2}-.0012085{col 26}{space 2} .0006621{col 37}{space 1}   -1.83{col 46}{space 3}0.068{col 54}{space 4}-.0025062{col 67}{space 3} .0000892
{txt}{space 5}biweek8 {c |}{col 14}{res}{space 2}-.0003863{col 26}{space 2} .0007482{col 37}{space 1}   -0.52{col 46}{space 3}0.606{col 54}{space 4}-.0018528{col 67}{space 3} .0010802
{txt}{space 5}biweek9 {c |}{col 14}{res}{space 2}-.0005912{col 26}{space 2} .0007201{col 37}{space 1}   -0.82{col 46}{space 3}0.412{col 54}{space 4}-.0020025{col 67}{space 3} .0008202
{txt}{space 4}biweek10 {c |}{col 14}{res}{space 2} -.000537{col 26}{space 2} .0007256{col 37}{space 1}   -0.74{col 46}{space 3}0.459{col 54}{space 4}-.0019591{col 67}{space 3} .0008851
{txt}{space 4}biweek11 {c |}{col 14}{res}{space 2}-.0008793{col 26}{space 2} .0007404{col 37}{space 1}   -1.19{col 46}{space 3}0.235{col 54}{space 4}-.0023305{col 67}{space 3}  .000572
{txt}{space 4}biweek12 {c |}{col 14}{res}{space 2}-.0014976{col 26}{space 2} .0006489{col 37}{space 1}   -2.31{col 46}{space 3}0.021{col 54}{space 4}-.0027696{col 67}{space 3}-.0002257
{txt}{space 4}biweek13 {c |}{col 14}{res}{space 2}-.0014713{col 26}{space 2} .0006342{col 37}{space 1}   -2.32{col 46}{space 3}0.020{col 54}{space 4}-.0027143{col 67}{space 3}-.0002282
{txt}{space 4}biweek14 {c |}{col 14}{res}{space 2}-.0016301{col 26}{space 2} .0006302{col 37}{space 1}   -2.59{col 46}{space 3}0.010{col 54}{space 4}-.0028653{col 67}{space 3} -.000395
{txt}{space 4}biweek15 {c |}{col 14}{res}{space 2}-.0009926{col 26}{space 2} .0008233{col 37}{space 1}   -1.21{col 46}{space 3}0.228{col 54}{space 4}-.0026062{col 67}{space 3}  .000621
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0021312{col 26}{space 2} .0005717{col 37}{space 1}    3.73{col 46}{space 3}0.000{col 54}{space 4} .0010107{col 67}{space 3} .0032517
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         *Model 2
.         reg lnrepression hcXbiweek2-hcXbiweek15 hostcity biweek2-biweek15 lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77, robust           

{txt}Linear regression                               Number of obs     = {res}    98,328
                                                {txt}F(34, 98293)      =  {res}     8.05
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0721
                                                {txt}Root MSE          =    {res} .04922

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}     lnrepression{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}hcXbiweek2 {c |}{col 19}{res}{space 2} .0356796{col 31}{space 2} .0416984{col 42}{space 1}    0.86{col 51}{space 3}0.392{col 59}{space 4}-.0460488{col 72}{space 3} .1174081
{txt}{space 7}hcXbiweek3 {c |}{col 19}{res}{space 2} .0277946{col 31}{space 2} .0431495{col 42}{space 1}    0.64{col 51}{space 3}0.519{col 59}{space 4}-.0567778{col 72}{space 3}  .112367
{txt}{space 7}hcXbiweek4 {c |}{col 19}{res}{space 2} .0394702{col 31}{space 2} .0453444{col 42}{space 1}    0.87{col 51}{space 3}0.384{col 59}{space 4}-.0494044{col 72}{space 3} .1283447
{txt}{space 7}hcXbiweek5 {c |}{col 19}{res}{space 2} .1521608{col 31}{space 2} .0613386{col 42}{space 1}    2.48{col 51}{space 3}0.013{col 59}{space 4} .0319379{col 72}{space 3} .2723836
{txt}{space 7}hcXbiweek6 {c |}{col 19}{res}{space 2} .1337804{col 31}{space 2} .0592127{col 42}{space 1}    2.26{col 51}{space 3}0.024{col 59}{space 4} .0177242{col 72}{space 3} .2498366
{txt}{space 7}hcXbiweek7 {c |}{col 19}{res}{space 2} .0821414{col 31}{space 2} .0460524{col 42}{space 1}    1.78{col 51}{space 3}0.074{col 59}{space 4}-.0081206{col 72}{space 3} .1724035
{txt}{space 7}hcXbiweek8 {c |}{col 19}{res}{space 2}-.0450068{col 31}{space 2} .0296722{col 42}{space 1}   -1.52{col 51}{space 3}0.129{col 59}{space 4} -.103164{col 72}{space 3} .0131504
{txt}{space 7}hcXbiweek9 {c |}{col 19}{res}{space 2} .1373871{col 31}{space 2} .0608988{col 42}{space 1}    2.26{col 51}{space 3}0.024{col 59}{space 4} .0180261{col 72}{space 3} .2567481
{txt}{space 6}hcXbiweek10 {c |}{col 19}{res}{space 2}  .117524{col 31}{space 2} .0576138{col 42}{space 1}    2.04{col 51}{space 3}0.041{col 59}{space 4} .0046017{col 72}{space 3} .2304463
{txt}{space 6}hcXbiweek11 {c |}{col 19}{res}{space 2} .0989962{col 31}{space 2} .0531716{col 42}{space 1}    1.86{col 51}{space 3}0.063{col 59}{space 4}-.0052194{col 72}{space 3} .2032119
{txt}{space 6}hcXbiweek12 {c |}{col 19}{res}{space 2} .0445748{col 31}{space 2} .0467821{col 42}{space 1}    0.95{col 51}{space 3}0.341{col 59}{space 4}-.0471175{col 72}{space 3} .1362671
{txt}{space 6}hcXbiweek13 {c |}{col 19}{res}{space 2} .0229971{col 31}{space 2} .0437697{col 42}{space 1}    0.53{col 51}{space 3}0.599{col 59}{space 4} -.062791{col 72}{space 3} .1087852
{txt}{space 6}hcXbiweek14 {c |}{col 19}{res}{space 2}-.0140196{col 31}{space 2} .0338771{col 42}{space 1}   -0.41{col 51}{space 3}0.679{col 59}{space 4}-.0804184{col 72}{space 3} .0523791
{txt}{space 6}hcXbiweek15 {c |}{col 19}{res}{space 2} .0150264{col 31}{space 2}  .043075{col 42}{space 1}    0.35{col 51}{space 3}0.727{col 59}{space 4}-.0693999{col 72}{space 3} .0994528
{txt}{space 9}hostcity {c |}{col 19}{res}{space 2} .0331035{col 31}{space 2} .0279918{col 42}{space 1}    1.18{col 51}{space 3}0.237{col 59}{space 4}-.0217601{col 72}{space 3} .0879671
{txt}{space 10}biweek2 {c |}{col 19}{res}{space 2} -.000181{col 31}{space 2} .0007812{col 42}{space 1}   -0.23{col 51}{space 3}0.817{col 59}{space 4}-.0017121{col 72}{space 3} .0013502
{txt}{space 10}biweek3 {c |}{col 19}{res}{space 2}-.0005154{col 31}{space 2} .0007301{col 42}{space 1}   -0.71{col 51}{space 3}0.480{col 59}{space 4}-.0019464{col 72}{space 3} .0009156
{txt}{space 10}biweek4 {c |}{col 19}{res}{space 2}-.0007837{col 31}{space 2} .0007192{col 42}{space 1}   -1.09{col 51}{space 3}0.276{col 59}{space 4}-.0021934{col 72}{space 3} .0006259
{txt}{space 10}biweek5 {c |}{col 19}{res}{space 2}-.0013634{col 31}{space 2} .0006543{col 42}{space 1}   -2.08{col 51}{space 3}0.037{col 59}{space 4}-.0026459{col 72}{space 3}-.0000809
{txt}{space 10}biweek6 {c |}{col 19}{res}{space 2} .0014999{col 31}{space 2} .0009331{col 42}{space 1}    1.61{col 51}{space 3}0.108{col 59}{space 4}-.0003289{col 72}{space 3} .0033287
{txt}{space 10}biweek7 {c |}{col 19}{res}{space 2} -.001242{col 31}{space 2} .0006785{col 42}{space 1}   -1.83{col 51}{space 3}0.067{col 59}{space 4}-.0025719{col 72}{space 3} .0000879
{txt}{space 10}biweek8 {c |}{col 19}{res}{space 2} -.000394{col 31}{space 2} .0007658{col 42}{space 1}   -0.51{col 51}{space 3}0.607{col 59}{space 4} -.001895{col 72}{space 3} .0011071
{txt}{space 10}biweek9 {c |}{col 19}{res}{space 2}-.0006016{col 31}{space 2} .0007371{col 42}{space 1}   -0.82{col 51}{space 3}0.414{col 59}{space 4}-.0020463{col 72}{space 3} .0008431
{txt}{space 9}biweek10 {c |}{col 19}{res}{space 2}-.0005427{col 31}{space 2} .0007449{col 42}{space 1}   -0.73{col 51}{space 3}0.466{col 59}{space 4}-.0020028{col 72}{space 3} .0009173
{txt}{space 9}biweek11 {c |}{col 19}{res}{space 2}-.0008972{col 31}{space 2} .0007595{col 42}{space 1}   -1.18{col 51}{space 3}0.237{col 59}{space 4}-.0023858{col 72}{space 3} .0005914
{txt}{space 9}biweek12 {c |}{col 19}{res}{space 2}-.0017786{col 31}{space 2} .0006221{col 42}{space 1}   -2.86{col 51}{space 3}0.004{col 59}{space 4} -.002998{col 72}{space 3}-.0005592
{txt}{space 9}biweek13 {c |}{col 19}{res}{space 2}-.0015103{col 31}{space 2} .0006511{col 42}{space 1}   -2.32{col 51}{space 3}0.020{col 59}{space 4}-.0027864{col 72}{space 3}-.0002342
{txt}{space 9}biweek14 {c |}{col 19}{res}{space 2}-.0016748{col 31}{space 2} .0006478{col 42}{space 1}   -2.59{col 51}{space 3}0.010{col 59}{space 4}-.0029444{col 72}{space 3}-.0004052
{txt}{space 9}biweek15 {c |}{col 19}{res}{space 2}-.0010146{col 31}{space 2} .0008458{col 42}{space 1}   -1.20{col 51}{space 3}0.230{col 59}{space 4}-.0026724{col 72}{space 3} .0006432
{txt}{space 7}lnpop_1970 {c |}{col 19}{res}{space 2} .0008507{col 31}{space 2} .0001397{col 42}{space 1}    6.09{col 51}{space 3}0.000{col 59}{space 4} .0005768{col 72}{space 3} .0011246
{txt}{space 5}vote_frejuli {c |}{col 19}{res}{space 2}-.0000457{col 31}{space 2} .0000131{col 42}{space 1}   -3.48{col 51}{space 3}0.000{col 59}{space 4}-.0000714{col 72}{space 3}  -.00002
{txt}{space 5}literacy_avg {c |}{col 19}{res}{space 2}-.0052926{col 31}{space 2} .0007379{col 42}{space 1}   -7.17{col 51}{space 3}0.000{col 59}{space 4}-.0067389{col 72}{space 3}-.0038463
{txt}{space 5}lnrebact1974 {c |}{col 19}{res}{space 2} -.000167{col 31}{space 2} .0000916{col 42}{space 1}   -1.82{col 51}{space 3}0.068{col 59}{space 4}-.0003466{col 72}{space 3} .0000126
{txt}lnrepression70_77 {c |}{col 19}{res}{space 2} .0034016{col 31}{space 2} .0002639{col 42}{space 1}   12.89{col 51}{space 3}0.000{col 59}{space 4} .0028844{col 72}{space 3} .0039189
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-.0021358{col 31}{space 2} .0014884{col 42}{space 1}   -1.43{col 51}{space 3}0.151{col 59}{space 4} -.005053{col 72}{space 3} .0007815
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         *Model 3
.         reg lnrepression hcXbiweek2-hcXbiweek15 hostcity biweek2-biweek15 lnpop_1970 vote_frejuli literacy_avg lnrebact1974 lnrepression70_77 zone2-zone5, robust       

{txt}Linear regression                               Number of obs     = {res}    98,328
                                                {txt}F(38, 98289)      =  {res}     7.33
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0764
                                                {txt}Root MSE          =    {res} .04911

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}     lnrepression{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}hcXbiweek2 {c |}{col 19}{res}{space 2} .0356796{col 31}{space 2} .0414269{col 42}{space 1}    0.86{col 51}{space 3}0.389{col 59}{space 4}-.0455166{col 72}{space 3} .1168759
{txt}{space 7}hcXbiweek3 {c |}{col 19}{res}{space 2} .0277946{col 31}{space 2} .0429328{col 42}{space 1}    0.65{col 51}{space 3}0.517{col 59}{space 4}-.0563532{col 72}{space 3} .1119424
{txt}{space 7}hcXbiweek4 {c |}{col 19}{res}{space 2} .0394702{col 31}{space 2} .0450175{col 42}{space 1}    0.88{col 51}{space 3}0.381{col 59}{space 4}-.0487636{col 72}{space 3}  .127704
{txt}{space 7}hcXbiweek5 {c |}{col 19}{res}{space 2} .1521608{col 31}{space 2} .0609929{col 42}{space 1}    2.49{col 51}{space 3}0.013{col 59}{space 4} .0326153{col 72}{space 3} .2717062
{txt}{space 7}hcXbiweek6 {c |}{col 19}{res}{space 2} .1337804{col 31}{space 2} .0588375{col 42}{space 1}    2.27{col 51}{space 3}0.023{col 59}{space 4} .0184596{col 72}{space 3} .2491012
{txt}{space 7}hcXbiweek7 {c |}{col 19}{res}{space 2} .0821414{col 31}{space 2} .0456673{col 42}{space 1}    1.80{col 51}{space 3}0.072{col 59}{space 4}-.0073659{col 72}{space 3} .1716488
{txt}{space 7}hcXbiweek8 {c |}{col 19}{res}{space 2}-.0450068{col 31}{space 2} .0294648{col 42}{space 1}   -1.53{col 51}{space 3}0.127{col 59}{space 4}-.1027574{col 72}{space 3} .0127438
{txt}{space 7}hcXbiweek9 {c |}{col 19}{res}{space 2} .1373871{col 31}{space 2} .0605217{col 42}{space 1}    2.27{col 51}{space 3}0.023{col 59}{space 4} .0187652{col 72}{space 3} .2560089
{txt}{space 6}hcXbiweek10 {c |}{col 19}{res}{space 2}  .117524{col 31}{space 2} .0572745{col 42}{space 1}    2.05{col 51}{space 3}0.040{col 59}{space 4} .0052667{col 72}{space 3} .2297813
{txt}{space 6}hcXbiweek11 {c |}{col 19}{res}{space 2} .0989962{col 31}{space 2} .0529158{col 42}{space 1}    1.87{col 51}{space 3}0.061{col 59}{space 4}-.0047181{col 72}{space 3} .2027106
{txt}{space 6}hcXbiweek12 {c |}{col 19}{res}{space 2} .0445748{col 31}{space 2} .0464195{col 42}{space 1}    0.96{col 51}{space 3}0.337{col 59}{space 4}-.0464069{col 72}{space 3} .1355565
{txt}{space 6}hcXbiweek13 {c |}{col 19}{res}{space 2} .0229971{col 31}{space 2} .0434419{col 42}{space 1}    0.53{col 51}{space 3}0.597{col 59}{space 4}-.0621484{col 72}{space 3} .1081427
{txt}{space 6}hcXbiweek14 {c |}{col 19}{res}{space 2}-.0140196{col 31}{space 2} .0335878{col 42}{space 1}   -0.42{col 51}{space 3}0.676{col 59}{space 4}-.0798512{col 72}{space 3} .0518119
{txt}{space 6}hcXbiweek15 {c |}{col 19}{res}{space 2} .0150264{col 31}{space 2} .0427437{col 42}{space 1}    0.35{col 51}{space 3}0.725{col 59}{space 4}-.0687507{col 72}{space 3} .0988036
{txt}{space 9}hostcity {c |}{col 19}{res}{space 2} .0332784{col 31}{space 2} .0278057{col 42}{space 1}    1.20{col 51}{space 3}0.231{col 59}{space 4}-.0212206{col 72}{space 3} .0877773
{txt}{space 10}biweek2 {c |}{col 19}{res}{space 2} -.000181{col 31}{space 2} .0007814{col 42}{space 1}   -0.23{col 51}{space 3}0.817{col 59}{space 4}-.0017124{col 72}{space 3} .0013505
{txt}{space 10}biweek3 {c |}{col 19}{res}{space 2}-.0005154{col 31}{space 2} .0007309{col 42}{space 1}   -0.71{col 51}{space 3}0.481{col 59}{space 4}-.0019481{col 72}{space 3} .0009172
{txt}{space 10}biweek4 {c |}{col 19}{res}{space 2}-.0007837{col 31}{space 2} .0007199{col 42}{space 1}   -1.09{col 51}{space 3}0.276{col 59}{space 4}-.0021948{col 72}{space 3} .0006273
{txt}{space 10}biweek5 {c |}{col 19}{res}{space 2}-.0013634{col 31}{space 2} .0006558{col 42}{space 1}   -2.08{col 51}{space 3}0.038{col 59}{space 4}-.0026488{col 72}{space 3}-.0000781
{txt}{space 10}biweek6 {c |}{col 19}{res}{space 2} .0014999{col 31}{space 2} .0009331{col 42}{space 1}    1.61{col 51}{space 3}0.108{col 59}{space 4}-.0003289{col 72}{space 3} .0033288
{txt}{space 10}biweek7 {c |}{col 19}{res}{space 2} -.001242{col 31}{space 2} .0006804{col 42}{space 1}   -1.83{col 51}{space 3}0.068{col 59}{space 4}-.0025755{col 72}{space 3} .0000915
{txt}{space 10}biweek8 {c |}{col 19}{res}{space 2} -.000394{col 31}{space 2} .0007662{col 42}{space 1}   -0.51{col 51}{space 3}0.607{col 59}{space 4}-.0018957{col 72}{space 3} .0011077
{txt}{space 10}biweek9 {c |}{col 19}{res}{space 2}-.0006016{col 31}{space 2} .0007375{col 42}{space 1}   -0.82{col 51}{space 3}0.415{col 59}{space 4}-.0020471{col 72}{space 3} .0008439
{txt}{space 9}biweek10 {c |}{col 19}{res}{space 2}-.0005427{col 31}{space 2} .0007463{col 42}{space 1}   -0.73{col 51}{space 3}0.467{col 59}{space 4}-.0020054{col 72}{space 3} .0009199
{txt}{space 9}biweek11 {c |}{col 19}{res}{space 2}-.0008972{col 31}{space 2} .0007607{col 42}{space 1}   -1.18{col 51}{space 3}0.238{col 59}{space 4}-.0023881{col 72}{space 3} .0005937
{txt}{space 9}biweek12 {c |}{col 19}{res}{space 2}-.0017786{col 31}{space 2} .0006241{col 42}{space 1}   -2.85{col 51}{space 3}0.004{col 59}{space 4}-.0030019{col 72}{space 3}-.0005554
{txt}{space 9}biweek13 {c |}{col 19}{res}{space 2}-.0015103{col 31}{space 2} .0006527{col 42}{space 1}   -2.31{col 51}{space 3}0.021{col 59}{space 4}-.0027896{col 72}{space 3} -.000231
{txt}{space 9}biweek14 {c |}{col 19}{res}{space 2}-.0016748{col 31}{space 2} .0006501{col 42}{space 1}   -2.58{col 51}{space 3}0.010{col 59}{space 4} -.002949{col 72}{space 3}-.0004006
{txt}{space 9}biweek15 {c |}{col 19}{res}{space 2}-.0010146{col 31}{space 2} .0008477{col 42}{space 1}   -1.20{col 51}{space 3}0.231{col 59}{space 4}-.0026761{col 72}{space 3} .0006469
{txt}{space 7}lnpop_1970 {c |}{col 19}{res}{space 2} .0029651{col 31}{space 2} .0002879{col 42}{space 1}   10.30{col 51}{space 3}0.000{col 59}{space 4} .0024009{col 72}{space 3} .0035293
{txt}{space 5}vote_frejuli {c |}{col 19}{res}{space 2}-8.04e-06{col 31}{space 2}  .000017{col 42}{space 1}   -0.47{col 51}{space 3}0.635{col 59}{space 4}-.0000413{col 72}{space 3} .0000252
{txt}{space 5}literacy_avg {c |}{col 19}{res}{space 2}-.0213509{col 31}{space 2} .0018237{col 42}{space 1}  -11.71{col 51}{space 3}0.000{col 59}{space 4}-.0249252{col 72}{space 3}-.0177766
{txt}{space 5}lnrebact1974 {c |}{col 19}{res}{space 2}-.0013549{col 31}{space 2} .0001502{col 42}{space 1}   -9.02{col 51}{space 3}0.000{col 59}{space 4}-.0016492{col 72}{space 3}-.0010606
{txt}lnrepression70_77 {c |}{col 19}{res}{space 2} .0024656{col 31}{space 2} .0002592{col 42}{space 1}    9.51{col 51}{space 3}0.000{col 59}{space 4} .0019575{col 72}{space 3} .0029736
{txt}{space 12}zone2 {c |}{col 19}{res}{space 2}-.0134468{col 31}{space 2} .0011264{col 42}{space 1}  -11.94{col 51}{space 3}0.000{col 59}{space 4}-.0156545{col 72}{space 3}-.0112392
{txt}{space 12}zone3 {c |}{col 19}{res}{space 2}-.0106644{col 31}{space 2} .0009297{col 42}{space 1}  -11.47{col 51}{space 3}0.000{col 59}{space 4}-.0124867{col 72}{space 3}-.0088422
{txt}{space 12}zone4 {c |}{col 19}{res}{space 2}-.0049428{col 31}{space 2} .0029622{col 42}{space 1}   -1.67{col 51}{space 3}0.095{col 59}{space 4}-.0107486{col 72}{space 3}  .000863
{txt}{space 12}zone5 {c |}{col 19}{res}{space 2}-.0085703{col 31}{space 2} .0007348{col 42}{space 1}  -11.66{col 51}{space 3}0.000{col 59}{space 4}-.0100104{col 72}{space 3}-.0071302
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-.0019847{col 31}{space 2} .0017627{col 42}{space 1}   -1.13{col 51}{space 3}0.260{col 59}{space 4}-.0054395{col 72}{space 3} .0014701
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 
.         
.         
. ********************************************************************************
. *
. * Substantive effects graphs
. *
. ********************************************************************************        
.         
.         
.         ****************************************************************************
.         *Figure 5: Substantive effects
.         ****************************************************************************                    
.         
.         *1) Calculating substantive effects
.         
.         *Estimating Model 3, Table 1
.         #delimit ;
{txt}delimiter now ;
{com}.         nbreg repression 
>                   i.hostcity#c.time 
>                   i.hostcity#c.time#c.time 
>                   i.hostcity 
>                   c.time 
>                   c.time#c.time 
>                   c.lnpop_1970 
>                   c.vote_frejuli 
>                   c.literacy_avg 
>                   c.lnrebact1974 
>                   c.lnrepression70_77 
>                   i.zone2 i.zone3 i.zone4 i.zone5
>                   , 
>                   robust                
>         ;

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-10251.041}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-9430.9582}  (not concave)
Iteration 2:{space 3}log pseudolikelihood = {res:-9336.6486}  (not concave)
Iteration 3:{space 3}log pseudolikelihood = {res:-9039.9325}  
Iteration 4:{space 3}log pseudolikelihood = {res: -3368.985}  (backed up)
Iteration 5:{space 3}log pseudolikelihood = {res:-3277.9635}  (backed up)
Iteration 6:{space 3}log pseudolikelihood = {res:-2430.1458}  (backed up)
Iteration 7:{space 3}log pseudolikelihood = {res:-1658.9715}  
Iteration 8:{space 3}log pseudolikelihood = {res:-1262.0001}  
Iteration 9:{space 3}log pseudolikelihood = {res:-1100.8876}  
Iteration 10:{space 2}log pseudolikelihood = {res:-1097.0356}  
Iteration 11:{space 2}log pseudolikelihood = {res:-1097.0315}  
Iteration 12:{space 2}log pseudolikelihood = {res:-1097.0315}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -1829.657}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1488.4935}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1487.9062}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1487.9059}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1487.9059}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1379.0592}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res: -1235.671}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1033.9711}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1015.7168}  
Iteration 4:{space 3}log pseudolikelihood = {res: -1011.739}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1011.6981}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1011.6981}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}    56,394
{txt}{col 49}Wald chi2({res}14{txt}){col 67}= {res}    684.70
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1011.6981{txt}{col 49}Pseudo R2{col 67}= {res}    0.3201

{txt}{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}            repression{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      z{col 56}   P>|z|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}hostcity#c.time {c |}
{space 20}1  {c |}{col 24}{res}{space 2} 8.301135{col 36}{space 2} 2.007929{col 47}{space 1}    4.13{col 56}{space 3}0.000{col 64}{space 4} 4.365666{col 77}{space 3}  12.2366
{txt}{space 22} {c |}
hostcity#c.time#c.time {c |}
{space 20}1  {c |}{col 24}{res}{space 2}-6.844269{col 36}{space 2} 1.596641{col 47}{space 1}   -4.29{col 56}{space 3}0.000{col 64}{space 4}-9.973627{col 77}{space 3}-3.714911
{txt}{space 22} {c |}
{space 12}1.hostcity {c |}{col 24}{res}{space 2}-1.434262{col 36}{space 2} .6145877{col 47}{space 1}   -2.33{col 56}{space 3}0.020{col 64}{space 4}-2.638832{col 77}{space 3}-.2296922
{txt}{space 18}time {c |}{col 24}{res}{space 2}-1.928213{col 36}{space 2} 1.211667{col 47}{space 1}   -1.59{col 56}{space 3}0.112{col 64}{space 4}-4.303036{col 77}{space 3}   .44661
{txt}{space 22} {c |}
{space 9}c.time#c.time {c |}{col 24}{res}{space 2} 1.372504{col 36}{space 2} .9556439{col 47}{space 1}    1.44{col 56}{space 3}0.151{col 64}{space 4} -.500524{col 77}{space 3} 3.245531
{txt}{space 22} {c |}
{space 12}lnpop_1970 {c |}{col 24}{res}{space 2} .3694047{col 36}{space 2} .2504632{col 47}{space 1}    1.47{col 56}{space 3}0.140{col 64}{space 4}-.1214941{col 77}{space 3} .8603036
{txt}{space 10}vote_frejuli {c |}{col 24}{res}{space 2} .0376127{col 36}{space 2} .0133914{col 47}{space 1}    2.81{col 56}{space 3}0.005{col 64}{space 4}  .011366{col 77}{space 3} .0638593
{txt}{space 10}literacy_avg {c |}{col 24}{res}{space 2} 1.154586{col 36}{space 2} 3.335428{col 47}{space 1}    0.35{col 56}{space 3}0.729{col 64}{space 4}-5.382733{col 77}{space 3} 7.691905
{txt}{space 10}lnrebact1974 {c |}{col 24}{res}{space 2}-.0679223{col 36}{space 2} .0702821{col 47}{space 1}   -0.97{col 56}{space 3}0.334{col 64}{space 4}-.2056728{col 77}{space 3} .0698281
{txt}{space 5}lnrepression70_77 {c |}{col 24}{res}{space 2} .7067854{col 36}{space 2} .1966499{col 47}{space 1}    3.59{col 56}{space 3}0.000{col 64}{space 4} .3213586{col 77}{space 3} 1.092212
{txt}{space 15}1.zone2 {c |}{col 24}{res}{space 2} -2.09976{col 36}{space 2} .4157572{col 47}{space 1}   -5.05{col 56}{space 3}0.000{col 64}{space 4}-2.914629{col 77}{space 3}-1.284891
{txt}{space 15}1.zone3 {c |}{col 24}{res}{space 2}-.9578653{col 36}{space 2} .2590564{col 47}{space 1}   -3.70{col 56}{space 3}0.000{col 64}{space 4}-1.465607{col 77}{space 3}-.4501241
{txt}{space 15}1.zone4 {c |}{col 24}{res}{space 2}-.3881078{col 36}{space 2} .2641826{col 47}{space 1}   -1.47{col 56}{space 3}0.142{col 64}{space 4}-.9058963{col 77}{space 3} .1296806
{txt}{space 15}1.zone5 {c |}{col 24}{res}{space 2}-.9323005{col 36}{space 2} .4809299{col 47}{space 1}   -1.94{col 56}{space 3}0.053{col 64}{space 4}-1.874906{col 77}{space 3} .0103048
{txt}{space 17}_cons {c |}{col 24}{res}{space 2}-13.41226{col 36}{space 2} 3.487143{col 47}{space 1}   -3.85{col 56}{space 3}0.000{col 64}{space 4}-20.24694{col 77}{space 3}-6.577587
{txt}{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}/lnalpha {c |}{col 24}{res}{space 2} 1.803443{col 36}{space 2} .3053665{col 64}{space 4} 1.204936{col 77}{space 3} 2.401951
{txt}{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 alpha {c |}{col 24}{res}{space 2} 6.070515{col 36}{space 2} 1.853732{col 64}{space 4} 3.336546{col 77}{space 3}  11.0447
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         #delimit cr
{txt}delimiter now cr
{com}.         
.         *Calculating effects and exporting effects data
.         #delimit ;      
{txt}delimiter now ;
{com}.         margins, at((asobserved) _all time = (0.01(0.01)1.17)) over(hostcity)                    
>                          level(95) 
>                          post;
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}    56,394
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Predicted number of events, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:over}:{space 1}{res:hostcity}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.01}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.01}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.02}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.02}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.03}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.03}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.04}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.04}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.05}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.05}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.06}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.06}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.07}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.07}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.08}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.08}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.09}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.09}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.11}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.11}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:12._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.12}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.12}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:13._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.13}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.13}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:14._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.14}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.14}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:15._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.15}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.15}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:16._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.16}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.16}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:17._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.17}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.17}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:18._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.18}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.18}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:19._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.19}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.19}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:20._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.2}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:21._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.21}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.21}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:22._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.22}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.22}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:23._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.23}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:24._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.24}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.24}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:25._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.25}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.25}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:26._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.26}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.26}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:27._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.27}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.27}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:28._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.28}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.28}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:29._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.29}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.29}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:30._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.3}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:31._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.31}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.31}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:32._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.32}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.32}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:33._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.33}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.33}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:34._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.34}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.34}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:35._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.35}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.35}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:36._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.36}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.36}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:37._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.37}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.37}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:38._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.38}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.38}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:39._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.39}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.39}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:40._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.4}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:41._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.41}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.41}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:42._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.42}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.42}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:43._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.43}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.43}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:44._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.44}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.44}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:45._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.45}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.45}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:46._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.46}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.46}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:47._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.47}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.47}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:48._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.48}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.48}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:49._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.49}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.49}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:50._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.5}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:51._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.51}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.51}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:52._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.52}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.52}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:53._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.53}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.53}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:54._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.54}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.54}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:55._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.55}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.55}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:56._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.56}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.56}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:57._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.57}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.57}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:58._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.58}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.58}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:59._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.59}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.59}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:60._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.6}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:61._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.61}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.61}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:62._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.62}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.62}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:63._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.63}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.63}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:64._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.64}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.64}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:65._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.65}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.65}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:66._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.66}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.66}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:67._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.67}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:68._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.68}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.68}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:69._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.69}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.69}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:70._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.7}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:71._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.71}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.71}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:72._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.72}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.72}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:73._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.73}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.73}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:74._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.74}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.74}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:75._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.75}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.75}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:76._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.76}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.76}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:77._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.77}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.77}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:78._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.78}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.78}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:79._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.79}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.79}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:80._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.8}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:81._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.81}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.81}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:82._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.82}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.82}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:83._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.83}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.83}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:84._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.84}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:85._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.85}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.85}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:86._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.86}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.86}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:87._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.87}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.87}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:88._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.88}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.88}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:89._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.89}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.89}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:90._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.9}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:91._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.91}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.91}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:92._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.92}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.92}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:93._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.93}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.93}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:94._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.94}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.94}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:95._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.95}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.95}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:96._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.96}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.96}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:97._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.97}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.97}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:98._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.98}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.98}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:99._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.99}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.99}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:100._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:101._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.01}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.01}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:102._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.02}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.02}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:103._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.03}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.03}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:104._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.04}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.04}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:105._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.05}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.05}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:106._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.06}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.06}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:107._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.07}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.07}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:108._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.08}{p_end}
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{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}1.1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
_at#hostcity {c |}
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{txt}{space 6}  2 1  {c |}{col 14}{res}{space 2} .0621175{col 26}{space 2} .0259071{col 37}{space 1}    2.40{col 46}{space 3}0.016{col 54}{space 4} .0113405{col 67}{space 3} .1128944
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{txt}{space 6}  4 1  {c |}{col 14}{res}{space 2} .0700998{col 26}{space 2} .0274488{col 37}{space 1}    2.55{col 46}{space 3}0.011{col 54}{space 4} .0163011{col 67}{space 3} .1238985
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{txt}{space 6} 19 0  {c |}{col 14}{res}{space 2} .0036733{col 26}{space 2} .0006178{col 37}{space 1}    5.95{col 46}{space 3}0.000{col 54}{space 4} .0024626{col 67}{space 3} .0048841
{txt}{space 6} 19 1  {c |}{col 14}{res}{space 2} .1509702{col 26}{space 2} .0382714{col 37}{space 1}    3.94{col 46}{space 3}0.000{col 54}{space 4} .0759597{col 67}{space 3} .2259807
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{txt}{space 6} 86 1  {c |}{col 14}{res}{space 2} .2298791{col 26}{space 2} .0448899{col 37}{space 1}    5.12{col 46}{space 3}0.000{col 54}{space 4} .1418965{col 67}{space 3} .3178618
{txt}{space 6} 87 0  {c |}{col 14}{res}{space 2} .0026624{col 26}{space 2} .0003693{col 37}{space 1}    7.21{col 46}{space 3}0.000{col 54}{space 4} .0019385{col 67}{space 3} .0033863
{txt}{space 6} 87 1  {c |}{col 14}{res}{space 2} .2228773{col 26}{space 2} .0434319{col 37}{space 1}    5.13{col 46}{space 3}0.000{col 54}{space 4} .1377523{col 67}{space 3} .3080023
{txt}{space 6} 88 0  {c |}{col 14}{res}{space 2}  .002675{col 26}{space 2} .0003708{col 37}{space 1}    7.21{col 46}{space 3}0.000{col 54}{space 4} .0019482{col 67}{space 3} .0034019
{txt}{space 6} 88 1  {c |}{col 14}{res}{space 2} .2158524{col 26}{space 2} .0420315{col 37}{space 1}    5.14{col 46}{space 3}0.000{col 54}{space 4} .1334721{col 67}{space 3} .2982327
{txt}{space 6} 89 0  {c |}{col 14}{res}{space 2} .0026885{col 26}{space 2}  .000373{col 37}{space 1}    7.21{col 46}{space 3}0.000{col 54}{space 4} .0019575{col 67}{space 3} .0034194
{txt}{space 6} 89 1  {c |}{col 14}{res}{space 2} .2088202{col 26}{space 2} .0406927{col 37}{space 1}    5.13{col 46}{space 3}0.000{col 54}{space 4}  .129064{col 67}{space 3} .2885764
{txt}{space 6} 90 0  {c |}{col 14}{res}{space 2} .0027027{col 26}{space 2} .0003757{col 37}{space 1}    7.19{col 46}{space 3}0.000{col 54}{space 4} .0019663{col 67}{space 3} .0034391
{txt}{space 6} 90 1  {c |}{col 14}{res}{space 2} .2017962{col 26}{space 2} .0394182{col 37}{space 1}    5.12{col 46}{space 3}0.000{col 54}{space 4}  .124538{col 67}{space 3} .2790545
{txt}{space 6} 91 0  {c |}{col 14}{res}{space 2} .0027178{col 26}{space 2} .0003792{col 37}{space 1}    7.17{col 46}{space 3}0.000{col 54}{space 4} .0019745{col 67}{space 3}  .003461
{txt}{space 6} 91 1  {c |}{col 14}{res}{space 2} .1947952{col 26}{space 2} .0382099{col 37}{space 1}    5.10{col 46}{space 3}0.000{col 54}{space 4} .1199052{col 67}{space 3} .2696852
{txt}{space 6} 92 0  {c |}{col 14}{res}{space 2} .0027337{col 26}{space 2} .0003835{col 37}{space 1}    7.13{col 46}{space 3}0.000{col 54}{space 4}  .001982{col 67}{space 3} .0034854
{txt}{space 6} 92 1  {c |}{col 14}{res}{space 2} .1878314{col 26}{space 2} .0370685{col 37}{space 1}    5.07{col 46}{space 3}0.000{col 54}{space 4} .1151784{col 67}{space 3} .2604843
{txt}{space 6} 93 0  {c |}{col 14}{res}{space 2} .0027504{col 26}{space 2} .0003887{col 37}{space 1}    7.08{col 46}{space 3}0.000{col 54}{space 4} .0019886{col 67}{space 3} .0035122
{txt}{space 6} 93 1  {c |}{col 14}{res}{space 2} .1809184{col 26}{space 2} .0359937{col 37}{space 1}    5.03{col 46}{space 3}0.000{col 54}{space 4}  .110372{col 67}{space 3} .2514648
{txt}{space 6} 94 0  {c |}{col 14}{res}{space 2}  .002768{col 26}{space 2} .0003948{col 37}{space 1}    7.01{col 46}{space 3}0.000{col 54}{space 4} .0019943{col 67}{space 3} .0035418
{txt}{space 6} 94 1  {c |}{col 14}{res}{space 2} .1740693{col 26}{space 2} .0349842{col 37}{space 1}    4.98{col 46}{space 3}0.000{col 54}{space 4} .1055015{col 67}{space 3} .2426371
{txt}{space 6} 95 0  {c |}{col 14}{res}{space 2} .0027865{col 26}{space 2} .0004019{col 37}{space 1}    6.93{col 46}{space 3}0.000{col 54}{space 4} .0019989{col 67}{space 3} .0035742
{txt}{space 6} 95 1  {c |}{col 14}{res}{space 2} .1672963{col 26}{space 2} .0340377{col 37}{space 1}    4.92{col 46}{space 3}0.000{col 54}{space 4} .1005837{col 67}{space 3} .2340088
{txt}{space 6} 96 0  {c |}{col 14}{res}{space 2} .0028059{col 26}{space 2} .0004101{col 37}{space 1}    6.84{col 46}{space 3}0.000{col 54}{space 4} .0020022{col 67}{space 3} .0036096
{txt}{space 6} 96 1  {c |}{col 14}{res}{space 2} .1606109{col 26}{space 2} .0331509{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0956364{col 67}{space 3} .2255854
{txt}{space 6} 97 0  {c |}{col 14}{res}{space 2} .0028262{col 26}{space 2} .0004194{col 37}{space 1}    6.74{col 46}{space 3}0.000{col 54}{space 4} .0020043{col 67}{space 3} .0036481
{txt}{space 6} 97 1  {c |}{col 14}{res}{space 2} .1540241{col 26}{space 2} .0323198{col 37}{space 1}    4.77{col 46}{space 3}0.000{col 54}{space 4} .0906783{col 67}{space 3} .2173698
{txt}{space 6} 98 0  {c |}{col 14}{res}{space 2} .0028474{col 26}{space 2} .0004299{col 37}{space 1}    6.62{col 46}{space 3}0.000{col 54}{space 4} .0020049{col 67}{space 3} .0036899
{txt}{space 6} 98 1  {c |}{col 14}{res}{space 2} .1475458{col 26}{space 2}   .03154{col 37}{space 1}    4.68{col 46}{space 3}0.000{col 54}{space 4} .0857284{col 67}{space 3} .2093631
{txt}{space 6} 99 0  {c |}{col 14}{res}{space 2} .0028696{col 26}{space 2} .0004416{col 37}{space 1}    6.50{col 46}{space 3}0.000{col 54}{space 4} .0020041{col 67}{space 3} .0037351
{txt}{space 6} 99 1  {c |}{col 14}{res}{space 2} .1411854{col 26}{space 2} .0308064{col 37}{space 1}    4.58{col 46}{space 3}0.000{col 54}{space 4}  .080806{col 67}{space 3} .2015649
{txt}{space 6}100 0  {c |}{col 14}{res}{space 2} .0028927{col 26}{space 2} .0004546{col 37}{space 1}    6.36{col 46}{space 3}0.000{col 54}{space 4} .0020017{col 67}{space 3} .0037838
{txt}{space 6}100 1  {c |}{col 14}{res}{space 2} .1349515{col 26}{space 2} .0301135{col 37}{space 1}    4.48{col 46}{space 3}0.000{col 54}{space 4} .0759301{col 67}{space 3} .1939729
{txt}{space 6}101 0  {c |}{col 14}{res}{space 2} .0029169{col 26}{space 2}  .000469{col 37}{space 1}    6.22{col 46}{space 3}0.000{col 54}{space 4} .0019976{col 67}{space 3} .0038361
{txt}{space 6}101 1  {c |}{col 14}{res}{space 2} .1288517{col 26}{space 2} .0294559{col 37}{space 1}    4.37{col 46}{space 3}0.000{col 54}{space 4} .0711193{col 67}{space 3} .1865841
{txt}{space 6}102 0  {c |}{col 14}{res}{space 2}  .002942{col 26}{space 2} .0004848{col 37}{space 1}    6.07{col 46}{space 3}0.000{col 54}{space 4} .0019918{col 67}{space 3} .0038922
{txt}{space 6}102 1  {c |}{col 14}{res}{space 2} .1228931{col 26}{space 2} .0288279{col 37}{space 1}    4.26{col 46}{space 3}0.000{col 54}{space 4} .0663915{col 67}{space 3} .1793946
{txt}{space 6}103 0  {c |}{col 14}{res}{space 2} .0029682{col 26}{space 2}  .000502{col 37}{space 1}    5.91{col 46}{space 3}0.000{col 54}{space 4} .0019842{col 67}{space 3} .0039521
{txt}{space 6}103 1  {c |}{col 14}{res}{space 2} .1170818{col 26}{space 2} .0282241{col 37}{space 1}    4.15{col 46}{space 3}0.000{col 54}{space 4} .0617636{col 67}{space 3} .1723999
{txt}{space 6}104 0  {c |}{col 14}{res}{space 2} .0029954{col 26}{space 2} .0005207{col 37}{space 1}    5.75{col 46}{space 3}0.000{col 54}{space 4} .0019748{col 67}{space 3}  .004016
{txt}{space 6}104 1  {c |}{col 14}{res}{space 2} .1114233{col 26}{space 2} .0276393{col 37}{space 1}    4.03{col 46}{space 3}0.000{col 54}{space 4} .0572512{col 67}{space 3} .1655953
{txt}{space 6}105 0  {c |}{col 14}{res}{space 2} .0030237{col 26}{space 2}  .000541{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0019634{col 67}{space 3}  .004084
{txt}{space 6}105 1  {c |}{col 14}{res}{space 2} .1059223{col 26}{space 2} .0270687{col 37}{space 1}    3.91{col 46}{space 3}0.000{col 54}{space 4} .0528686{col 67}{space 3} .1589759
{txt}{space 6}106 0  {c |}{col 14}{res}{space 2} .0030531{col 26}{space 2} .0005628{col 37}{space 1}    5.43{col 46}{space 3}0.000{col 54}{space 4} .0019501{col 67}{space 3} .0041561
{txt}{space 6}106 1  {c |}{col 14}{res}{space 2} .1005827{col 26}{space 2} .0265078{col 37}{space 1}    3.79{col 46}{space 3}0.000{col 54}{space 4} .0486285{col 67}{space 3}  .152537
{txt}{space 6}107 0  {c |}{col 14}{res}{space 2} .0030836{col 26}{space 2} .0005862{col 37}{space 1}    5.26{col 46}{space 3}0.000{col 54}{space 4} .0019347{col 67}{space 3} .0042325
{txt}{space 6}107 1  {c |}{col 14}{res}{space 2} .0954078{col 26}{space 2} .0259525{col 37}{space 1}    3.68{col 46}{space 3}0.000{col 54}{space 4} .0445418{col 67}{space 3} .1462739
{txt}{space 6}108 0  {c |}{col 14}{res}{space 2} .0031153{col 26}{space 2} .0006112{col 37}{space 1}    5.10{col 46}{space 3}0.000{col 54}{space 4} .0019174{col 67}{space 3} .0043133
{txt}{space 6}108 1  {c |}{col 14}{res}{space 2} .0904003{col 26}{space 2} .0253996{col 37}{space 1}    3.56{col 46}{space 3}0.000{col 54}{space 4}  .040618{col 67}{space 3} .1401825
{txt}{space 6}109 0  {c |}{col 14}{res}{space 2} .0031482{col 26}{space 2}  .000638{col 37}{space 1}    4.93{col 46}{space 3}0.000{col 54}{space 4} .0018978{col 67}{space 3} .0043986
{txt}{space 6}109 1  {c |}{col 14}{res}{space 2} .0855618{col 26}{space 2} .0248459{col 37}{space 1}    3.44{col 46}{space 3}0.001{col 54}{space 4} .0368648{col 67}{space 3} .1342588
{txt}{space 6}110 0  {c |}{col 14}{res}{space 2} .0031823{col 26}{space 2} .0006664{col 37}{space 1}    4.78{col 46}{space 3}0.000{col 54}{space 4} .0018762{col 67}{space 3} .0044885
{txt}{space 6}110 1  {c |}{col 14}{res}{space 2} .0808938{col 26}{space 2}  .024289{col 37}{space 1}    3.33{col 46}{space 3}0.001{col 54}{space 4} .0332882{col 67}{space 3} .1284994
{txt}{space 6}111 0  {c |}{col 14}{res}{space 2} .0032177{col 26}{space 2} .0006966{col 37}{space 1}    4.62{col 46}{space 3}0.000{col 54}{space 4} .0018523{col 67}{space 3} .0045831
{txt}{space 6}111 1  {c |}{col 14}{res}{space 2} .0763967{col 26}{space 2} .0237271{col 37}{space 1}    3.22{col 46}{space 3}0.001{col 54}{space 4} .0298925{col 67}{space 3}  .122901
{txt}{space 6}112 0  {c |}{col 14}{res}{space 2} .0032543{col 26}{space 2} .0007287{col 37}{space 1}    4.47{col 46}{space 3}0.000{col 54}{space 4} .0018261{col 67}{space 3} .0046825
{txt}{space 6}112 1  {c |}{col 14}{res}{space 2} .0720708{col 26}{space 2} .0231587{col 37}{space 1}    3.11{col 46}{space 3}0.002{col 54}{space 4} .0266807{col 67}{space 3} .1174609
{txt}{space 6}113 0  {c |}{col 14}{res}{space 2} .0032923{col 26}{space 2} .0007626{col 37}{space 1}    4.32{col 46}{space 3}0.000{col 54}{space 4} .0017976{col 67}{space 3}  .004787
{txt}{space 6}113 1  {c |}{col 14}{res}{space 2} .0679154{col 26}{space 2} .0225827{col 37}{space 1}    3.01{col 46}{space 3}0.003{col 54}{space 4} .0236541{col 67}{space 3} .1121768
{txt}{space 6}114 0  {c |}{col 14}{res}{space 2} .0033316{col 26}{space 2} .0007984{col 37}{space 1}    4.17{col 46}{space 3}0.000{col 54}{space 4} .0017667{col 67}{space 3} .0048966
{txt}{space 6}114 1  {c |}{col 14}{res}{space 2} .0639297{col 26}{space 2} .0219988{col 37}{space 1}    2.91{col 46}{space 3}0.004{col 54}{space 4} .0208128{col 67}{space 3} .1070465
{txt}{space 6}115 0  {c |}{col 14}{res}{space 2} .0033723{col 26}{space 2} .0008363{col 37}{space 1}    4.03{col 46}{space 3}0.000{col 54}{space 4} .0017333{col 67}{space 3} .0050114
{txt}{space 6}115 1  {c |}{col 14}{res}{space 2}  .060112{col 26}{space 2} .0214067{col 37}{space 1}    2.81{col 46}{space 3}0.005{col 54}{space 4} .0181557{col 67}{space 3} .1020683
{txt}{space 6}116 0  {c |}{col 14}{res}{space 2} .0034145{col 26}{space 2} .0008761{col 37}{space 1}    3.90{col 46}{space 3}0.000{col 54}{space 4} .0016974{col 67}{space 3} .0051316
{txt}{space 6}116 1  {c |}{col 14}{res}{space 2} .0564605{col 26}{space 2} .0208065{col 37}{space 1}    2.71{col 46}{space 3}0.007{col 54}{space 4} .0156805{col 67}{space 3} .0972405
{txt}{space 6}117 0  {c |}{col 14}{res}{space 2} .0034581{col 26}{space 2} .0009181{col 37}{space 1}    3.77{col 46}{space 3}0.000{col 54}{space 4} .0016588{col 67}{space 3} .0052575
{txt}{space 6}117 1  {c |}{col 14}{res}{space 2} .0529728{col 26}{space 2} .0201988{col 37}{space 1}    2.62{col 46}{space 3}0.009{col 54}{space 4} .0133838{col 67}{space 3} .0925617
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         parmest, saving("$path\table1_model3_effects.dta", replace) format(estimate min95 max95);
{txt}file C:\Users\scharpf\Dropbox\ArgentinaWorldCup\replication\replicationfiles\table1_model3_effects.dta saved

{com}.         #delimit cr
{txt}delimiter now cr
{com}.         
.         
.         *2) Preparing data for plotting 
.         
.         *Preserving data
.         preserve
{txt}
{com}.         
.         *Loading effects data
.         use "$path\table1_model3_effects.dta", clear    
{txt}
{com}.                 
.         *Identifying host and non-host cities
.         gen hostcity=1 if regexm(parm, "1.hostcity$")
{txt}(117 missing values generated)

{com}.         replace hostcity=0 if regexm(parm, "0.hostcity$") & hostcity==. 
{txt}(117 real changes made)

{com}.         
.         *Generating day variable
.         egen days= seq(), from(1) to() block(2) 
{txt}
{com}.         
.         *Generating STATA date variable
.         gen date=td(28feb1978)+days
{txt}
{com}.         format date %td
{txt}
{com}.                 
.         *Generating World Cup event window
.         gen eventx=days if date>=td(01jun1978)
{txt}(184 missing values generated)

{com}.         gen eventylow=0 if eventx!=. & hostcity==1
{txt}(209 missing values generated)

{com}.         gen eventyhigh=.51 if eventx!=. & hostcity==1   
{txt}(209 missing values generated)

{com}.         
.         gen eventylow_nohc=0 if eventx!=. & hostcity==0
{txt}(209 missing values generated)

{com}.         gen eventyhigh_nohc=.051 if eventx!=. & hostcity==0             
{txt}(209 missing values generated)

{com}.                         
.         
.         *3) Plotting Figure 5
.         
.         *(a) Host cities
.         #delimit ;              
{txt}delimiter now ;
{com}.         twoway (rarea eventylow eventyhigh eventx, 
>                                         lwidth(0) fcolor(gs15)
>                         )
>                         (rarea min95 max95 days if hostcity==1,
>                                         lwidth(0) fcolor(gs11)
>                         )
>                     (line estimate days if hostcity==1, 
>                                          lcolor(black) lwidth(*2)
>                         )
>                                         ,                                       
>                                         ysize(1)
>                                         xsize(1.1) 
>                                         yscale(range(0 .5) noextend titlegap(*+5))
>                                         xscale(range(0 120) noextend titlegap(*+10)) 
>                                         ylabel(, 
>                                                         nogrid labsize(*1) angle(0)
>                                         )
>                                         xlabel(0.5 "March 1" 31.5 "April 1" 61.5 "May 1" 92.5 "June 1" 117.5 "June 25",
>                                                         labsize(*1)
>                                         )
>                                         ytitle("Predicted number of daily repression events", size(*1))
>                                         xtitle(" ")
>                                         legend(off)
>                                         text(.5 105.4 "World Cup", place(s) size(*1))
>                                         yline(0, lpattern(dot) lcolor(black) noextend)
>                                         graphregion(color(white) lcolor(white) lalign(outside))
>                                         ;
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.         graph export "$path\figure_5a.pdf", as(pdf) replace             
{txt}(file C:\Users\scharpf\Dropbox\ArgentinaWorldCup\replication\replicationfiles\figure_5a.pdf written in PDF format)

{com}.                 
.                 
.         *(b) Other cities       
.         #delimit ;              
{txt}delimiter now ;
{com}.         twoway (rarea eventylow_nohc eventyhigh_nohc eventx, 
>                                         lwidth(0) fcolor(gs15)
>                         )
>                         (rarea min95 max95 days if hostcity==0,
>                                         lwidth(0) fcolor(gs11)
>                         )
>                     (line estimate days if hostcity==0, 
>                                          lpattern(shortdash) lcolor(black) lwidth(*2)
>                         )
>                                         ,               
>                                         ysize(1)
>                                         xsize(1.1) 
>                                         yscale(range() noextend titlegap(*+5))
>                                         xscale(range(0 120) noextend titlegap(*+10)) 
>                                         ylabel(0(.01).05, 
>                                                         nogrid labsize(*1) angle(0)
>                                         )
>                                         xlabel(0.5 "March 1" 31.5 "April 1" 61.5 "May 1" 92.5 "June 1" 117.5 "June 25",
>                                                         labsize(*1)
>                                         )
>                                         ytitle("Predicted number of daily repression events", color(black) size(*1))
>                                         xtitle(" ")
>                                         text(.05 105.4 "World Cup", place(s) size(*1))                                          
>                                         legend(off)
>                                         yline(0, lpattern(dot) lcolor(black) noextend)                                  
>                                         graphregion(color(white) lcolor(white) lalign(outside))
>                                         ;
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.         graph export "$path\figure_5b.pdf", as(pdf) replace             
{txt}(file C:\Users\scharpf\Dropbox\ArgentinaWorldCup\replication\replicationfiles\figure_5b.pdf written in PDF format)

{com}.         
.         *Restoring data
.         restore 
{txt}
{com}.                         
.                 
.         
.         ****************************************************************************
.         *Figure 6: Substantive effects for matched sample
.         ****************************************************************************
. 
.         *1) Calculating substantive effects     
.         
.         *Estimating Model 6, Table SI.4.6
.         #delimit ;
{txt}delimiter now ;
{com}.         nbreg repression 
>                   i.hostcity#c.time 
>                   i.hostcity#c.time#c.time 
>                   i.hostcity 
>                   c.time 
>                   c.time#c.time 
>                   c.lnpop_1970 
>                   c.vote_frejuli 
>                   c.literacy_avg 
>                   c.lnrebact1974 
>                   c.lnrepression70_77 
>                   i.zone2 i.zone3 i.zone4 i.zone5
>                   if matched_allhosts==1
>                   , 
>                   robust                
>         ;

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1042.1924}  
Iteration 1:{space 3}log pseudolikelihood = {res:-749.83497}  
Iteration 2:{space 3}log pseudolikelihood = {res:-656.85163}  
Iteration 3:{space 3}log pseudolikelihood = {res:-651.54123}  
Iteration 4:{space 3}log pseudolikelihood = {res:-651.48323}  
Iteration 5:{space 3}log pseudolikelihood = {res:-651.48093}  
Iteration 6:{space 3}log pseudolikelihood = {res:-651.48078}  
Iteration 7:{space 3}log pseudolikelihood = {res:-651.48075}  
Iteration 8:{space 3}log pseudolikelihood = {res:-651.48074}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-756.15193}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-699.24803}  
Iteration 2:{space 3}log pseudolikelihood = {res:-693.07956}  
Iteration 3:{space 3}log pseudolikelihood = {res:-692.67714}  
Iteration 4:{space 3}log pseudolikelihood = {res:-692.67691}  
Iteration 5:{space 3}log pseudolikelihood = {res:-692.67691}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-692.67691}  
Iteration 1:{space 3}log pseudolikelihood = {res:-611.44395}  
Iteration 2:{space 3}log pseudolikelihood = {res:-605.17418}  
Iteration 3:{space 3}log pseudolikelihood = {res:-604.40138}  
Iteration 4:{space 3}log pseudolikelihood = {res:-604.28234}  
Iteration 5:{space 3}log pseudolikelihood = {res:-604.25824}  
Iteration 6:{space 3}log pseudolikelihood = {res:-604.25302}  
Iteration 7:{space 3}log pseudolikelihood = {res:-604.25185}  
Iteration 8:{space 3}log pseudolikelihood = {res:-604.25156}  
Iteration 9:{space 3}log pseudolikelihood = {res: -604.2515}  
Iteration 10:{space 2}log pseudolikelihood = {res:-604.25149}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     2,223
{txt}{col 49}Wald chi2({res}14{txt}){col 67}= {res}  15731.51
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-604.25149{txt}{col 49}Pseudo R2{col 67}= {res}    0.1277

{txt}{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}            repression{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      z{col 56}   P>|z|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}hostcity#c.time {c |}
{space 20}1  {c |}{col 24}{res}{space 2}  7.59821{col 36}{space 2} 2.030983{col 47}{space 1}    3.74{col 56}{space 3}0.000{col 64}{space 4} 3.617558{col 77}{space 3} 11.57886
{txt}{space 22} {c |}
hostcity#c.time#c.time {c |}
{space 20}1  {c |}{col 24}{res}{space 2}-6.127355{col 36}{space 2} 1.636087{col 47}{space 1}   -3.75{col 56}{space 3}0.000{col 64}{space 4}-9.334027{col 77}{space 3}-2.920683
{txt}{space 22} {c |}
{space 12}1.hostcity {c |}{col 24}{res}{space 2}-1.145805{col 36}{space 2} .6787362{col 47}{space 1}   -1.69{col 56}{space 3}0.091{col 64}{space 4}-2.476104{col 77}{space 3} .1844933
{txt}{space 18}time {c |}{col 24}{res}{space 2}-1.672691{col 36}{space 2} 1.354097{col 47}{space 1}   -1.24{col 56}{space 3}0.217{col 64}{space 4}-4.326672{col 77}{space 3} .9812903
{txt}{space 22} {c |}
{space 9}c.time#c.time {c |}{col 24}{res}{space 2} 1.132938{col 36}{space 2} 1.104056{col 47}{space 1}    1.03{col 56}{space 3}0.305{col 64}{space 4}-1.030973{col 77}{space 3} 3.296849
{txt}{space 22} {c |}
{space 12}lnpop_1970 {c |}{col 24}{res}{space 2} .2980959{col 36}{space 2} .4524641{col 47}{space 1}    0.66{col 56}{space 3}0.510{col 64}{space 4}-.5887175{col 77}{space 3} 1.184909
{txt}{space 10}vote_frejuli {c |}{col 24}{res}{space 2} .0409637{col 36}{space 2} .0305393{col 47}{space 1}    1.34{col 56}{space 3}0.180{col 64}{space 4}-.0188923{col 77}{space 3} .1008196
{txt}{space 10}literacy_avg {c |}{col 24}{res}{space 2} 1.973741{col 36}{space 2} 8.368421{col 47}{space 1}    0.24{col 56}{space 3}0.814{col 64}{space 4}-14.42806{col 77}{space 3} 18.37555
{txt}{space 10}lnrebact1974 {c |}{col 24}{res}{space 2}-.3336203{col 36}{space 2} .3324965{col 47}{space 1}   -1.00{col 56}{space 3}0.316{col 64}{space 4}-.9853016{col 77}{space 3}  .318061
{txt}{space 5}lnrepression70_77 {c |}{col 24}{res}{space 2} .3378863{col 36}{space 2} .2547461{col 47}{space 1}    1.33{col 56}{space 3}0.185{col 64}{space 4}-.1614069{col 77}{space 3} .8371795
{txt}{space 15}1.zone2 {c |}{col 24}{res}{space 2}-2.172802{col 36}{space 2} .6212493{col 47}{space 1}   -3.50{col 56}{space 3}0.000{col 64}{space 4}-3.390429{col 77}{space 3}-.9551761
{txt}{space 15}1.zone3 {c |}{col 24}{res}{space 2} -2.17777{col 36}{space 2} .8219862{col 47}{space 1}   -2.65{col 56}{space 3}0.008{col 64}{space 4}-3.788834{col 77}{space 3} -.566707
{txt}{space 15}1.zone4 {c |}{col 24}{res}{space 2}-.5611027{col 36}{space 2} .3196033{col 47}{space 1}   -1.76{col 56}{space 3}0.079{col 64}{space 4}-1.187514{col 77}{space 3} .0653083
{txt}{space 15}1.zone5 {c |}{col 24}{res}{space 2}-14.57125{col 36}{space 2} .3123986{col 47}{space 1}  -46.64{col 56}{space 3}0.000{col 64}{space 4}-15.18354{col 77}{space 3}-13.95896
{txt}{space 17}_cons {c |}{col 24}{res}{space 2} -9.91361{col 36}{space 2} 9.533249{col 47}{space 1}   -1.04{col 56}{space 3}0.298{col 64}{space 4}-28.59844{col 77}{space 3} 8.771215
{txt}{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}/lnalpha {c |}{col 24}{res}{space 2}  1.14851{col 36}{space 2}  .276188{col 64}{space 4} .6071915{col 77}{space 3} 1.689829
{txt}{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 alpha {c |}{col 24}{res}{space 2} 3.153491{col 36}{space 2} .8709565{col 64}{space 4}  1.83527{col 77}{space 3} 5.418553
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         #delimit cr
{txt}delimiter now cr
{com}.         
.         *Calculating effects and exporting effects data 
.         #delimit ;      
{txt}delimiter now ;
{com}.         margins, at((asobserved) _all time = (0.01(0.01)1.17)) over(hostcity)                    
>                          level(95) 
>                          post;
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}     2,223
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Predicted number of events, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:over}:{space 1}{res:hostcity}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.01}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.01}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.02}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.02}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.03}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.03}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.04}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.04}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.05}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.05}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.06}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.06}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.07}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.07}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.08}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.08}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.09}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.09}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.11}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.11}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:12._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.12}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.12}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:13._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.13}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.13}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:14._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.14}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.14}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:15._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.15}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.15}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:16._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.16}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.16}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:17._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.17}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.17}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:18._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.18}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.18}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:19._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.19}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.19}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:20._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.2}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:21._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.21}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.21}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:22._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.22}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.22}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:23._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.23}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:24._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.24}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.24}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:25._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.25}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.25}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:26._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.26}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.26}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:27._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.27}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.27}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:28._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.28}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.28}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:29._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.29}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.29}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:30._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.3}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:31._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.31}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.31}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:32._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.32}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.32}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:33._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.33}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.33}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:34._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.34}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.34}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:35._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.35}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.35}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:36._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.36}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.36}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:37._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.37}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.37}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:38._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.38}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.38}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:39._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.39}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.39}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:40._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.4}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:41._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.41}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.41}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:42._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.42}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.42}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:43._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.43}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.43}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:44._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.44}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.44}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:45._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.45}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.45}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:46._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.46}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.46}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:47._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.47}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.47}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:48._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.48}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.48}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:49._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.49}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.49}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:50._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.5}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:51._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.51}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.51}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:52._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.52}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.52}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:53._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.53}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.53}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:54._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.54}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.54}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:55._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.55}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.55}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:56._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.56}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.56}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:57._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.57}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.57}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:58._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.58}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.58}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:59._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.59}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.59}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:60._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.6}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:61._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.61}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.61}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:62._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.62}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.62}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:63._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.63}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.63}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:64._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.64}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.64}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:65._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.65}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.65}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:66._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.66}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.66}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:67._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.67}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:68._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.68}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.68}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:69._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.69}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.69}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:70._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.7}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:71._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.71}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.71}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:72._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.72}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.72}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:73._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.73}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.73}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:74._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.74}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.74}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:75._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.75}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.75}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:76._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.76}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.76}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:77._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.77}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.77}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:78._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.78}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.78}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:79._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.79}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.79}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:80._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.8}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:81._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.81}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.81}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:82._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.82}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.82}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:83._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.83}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.83}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:84._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.84}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:85._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.85}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.85}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:86._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.86}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.86}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:87._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.87}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.87}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:88._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.88}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.88}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:89._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.89}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.89}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:90._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.9}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:91._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.91}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.91}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:92._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.92}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.92}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:93._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.93}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.93}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:94._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.94}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.94}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:95._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.95}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.95}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:96._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.96}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.96}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:97._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.97}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.97}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:98._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.98}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.98}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:99._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.99}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.99}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:100._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:101._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.01}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.01}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:102._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.02}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.02}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:103._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.03}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.03}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:104._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.04}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.04}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:105._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.05}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.05}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:106._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.06}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.06}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:107._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.07}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.07}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:108._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.08}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.08}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:109._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.09}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.09}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:110._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}1.1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}1.1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:111._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.11}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.11}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:112._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.12}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.12}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:113._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.13}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.13}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:114._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.14}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.14}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:115._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.15}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.15}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:116._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.16}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.16}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:117._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.17}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.17}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
_at#hostcity {c |}
{space 6}  1 0  {c |}{col 14}{res}{space 2} .1030066{col 26}{space 2} .0340563{col 37}{space 1}    3.02{col 46}{space 3}0.002{col 54}{space 4} .0362575{col 67}{space 3} .1697557
{txt}{space 6}  1 1  {c |}{col 14}{res}{space 2} .0602165{col 26}{space 2} .0241945{col 37}{space 1}    2.49{col 46}{space 3}0.013{col 54}{space 4} .0127962{col 67}{space 3} .1076368
{txt}{space 6}  2 0  {c |}{col 14}{res}{space 2} .1013324{col 26}{space 2}  .032397{col 37}{space 1}    3.13{col 46}{space 3}0.002{col 54}{space 4} .0378353{col 67}{space 3} .1648294
{txt}{space 6}  2 1  {c |}{col 14}{res}{space 2} .0637968{col 26}{space 2} .0248038{col 37}{space 1}    2.57{col 46}{space 3}0.010{col 54}{space 4} .0151823{col 67}{space 3} .1124112
{txt}{space 6}  3 0  {c |}{col 14}{res}{space 2} .0997079{col 26}{space 2} .0308224{col 37}{space 1}    3.23{col 46}{space 3}0.001{col 54}{space 4} .0392972{col 67}{space 3} .1601186
{txt}{space 6}  3 1  {c |}{col 14}{res}{space 2} .0675225{col 26}{space 2} .0253962{col 37}{space 1}    2.66{col 46}{space 3}0.008{col 54}{space 4} .0177469{col 67}{space 3}  .117298
{txt}{space 6}  4 0  {c |}{col 14}{res}{space 2} .0981318{col 26}{space 2} .0293293{col 37}{space 1}    3.35{col 46}{space 3}0.001{col 54}{space 4} .0406475{col 67}{space 3} .1556161
{txt}{space 6}  4 1  {c |}{col 14}{res}{space 2} .0713944{col 26}{space 2} .0259704{col 37}{space 1}    2.75{col 46}{space 3}0.006{col 54}{space 4} .0204934{col 67}{space 3} .1222954
{txt}{space 6}  5 0  {c |}{col 14}{res}{space 2} .0966025{col 26}{space 2}  .027915{col 37}{space 1}    3.46{col 46}{space 3}0.001{col 54}{space 4} .0418901{col 67}{space 3} .1513148
{txt}{space 6}  5 1  {c |}{col 14}{res}{space 2}  .075413{col 26}{space 2} .0265253{col 37}{space 1}    2.84{col 46}{space 3}0.004{col 54}{space 4} .0234244{col 67}{space 3} .1274017
{txt}{space 6}  6 0  {c |}{col 14}{res}{space 2} .0951185{col 26}{space 2} .0265769{col 37}{space 1}    3.58{col 46}{space 3}0.000{col 54}{space 4} .0430287{col 67}{space 3} .1472083
{txt}{space 6}  6 1  {c |}{col 14}{res}{space 2} .0795783{col 26}{space 2}   .02706{col 37}{space 1}    2.94{col 46}{space 3}0.003{col 54}{space 4} .0265416{col 67}{space 3}  .132615
{txt}{space 6}  7 0  {c |}{col 14}{res}{space 2} .0936786{col 26}{space 2} .0253126{col 37}{space 1}    3.70{col 46}{space 3}0.000{col 54}{space 4} .0440669{col 67}{space 3} .1432903
{txt}{space 6}  7 1  {c |}{col 14}{res}{space 2} .0838898{col 26}{space 2}  .027574{col 37}{space 1}    3.04{col 46}{space 3}0.002{col 54}{space 4} .0298458{col 67}{space 3} .1379338
{txt}{space 6}  8 0  {c |}{col 14}{res}{space 2} .0922813{col 26}{space 2} .0241196{col 37}{space 1}    3.83{col 46}{space 3}0.000{col 54}{space 4} .0450078{col 67}{space 3} .1395548
{txt}{space 6}  8 1  {c |}{col 14}{res}{space 2} .0883466{col 26}{space 2} .0280667{col 37}{space 1}    3.15{col 46}{space 3}0.002{col 54}{space 4} .0333368{col 67}{space 3} .1433563
{txt}{space 6}  9 0  {c |}{col 14}{res}{space 2} .0909255{col 26}{space 2} .0229957{col 37}{space 1}    3.95{col 46}{space 3}0.000{col 54}{space 4} .0458548{col 67}{space 3} .1359963
{txt}{space 6}  9 1  {c |}{col 14}{res}{space 2} .0929472{col 26}{space 2} .0285383{col 37}{space 1}    3.26{col 46}{space 3}0.001{col 54}{space 4} .0370132{col 67}{space 3} .1488813
{txt}{space 6} 10 0  {c |}{col 14}{res}{space 2}   .08961{col 26}{space 2} .0219389{col 37}{space 1}    4.08{col 46}{space 3}0.000{col 54}{space 4} .0466105{col 67}{space 3} .1326094
{txt}{space 6} 10 1  {c |}{col 14}{res}{space 2} .0976899{col 26}{space 2}  .028989{col 37}{space 1}    3.37{col 46}{space 3}0.001{col 54}{space 4} .0408724{col 67}{space 3} .1545073
{txt}{space 6} 11 0  {c |}{col 14}{res}{space 2} .0883335{col 26}{space 2} .0209471{col 37}{space 1}    4.22{col 46}{space 3}0.000{col 54}{space 4}  .047278{col 67}{space 3}  .129389
{txt}{space 6} 11 1  {c |}{col 14}{res}{space 2}  .102572{col 26}{space 2} .0294197{col 37}{space 1}    3.49{col 46}{space 3}0.000{col 54}{space 4} .0449105{col 67}{space 3} .1602335
{txt}{space 6} 12 0  {c |}{col 14}{res}{space 2} .0870949{col 26}{space 2} .0200183{col 37}{space 1}    4.35{col 46}{space 3}0.000{col 54}{space 4} .0478597{col 67}{space 3}   .12633
{txt}{space 6} 12 1  {c |}{col 14}{res}{space 2} .1075905{col 26}{space 2} .0298313{col 37}{space 1}    3.61{col 46}{space 3}0.000{col 54}{space 4} .0491223{col 67}{space 3} .1660588
{txt}{space 6} 13 0  {c |}{col 14}{res}{space 2} .0858931{col 26}{space 2} .0191507{col 37}{space 1}    4.49{col 46}{space 3}0.000{col 54}{space 4} .0483584{col 67}{space 3} .1234277
{txt}{space 6} 13 1  {c |}{col 14}{res}{space 2}  .112742{col 26}{space 2} .0302254{col 37}{space 1}    3.73{col 46}{space 3}0.000{col 54}{space 4} .0535012{col 67}{space 3} .1719827
{txt}{space 6} 14 0  {c |}{col 14}{res}{space 2} .0847271{col 26}{space 2} .0183424{col 37}{space 1}    4.62{col 46}{space 3}0.000{col 54}{space 4} .0487767{col 67}{space 3} .1206775
{txt}{space 6} 14 1  {c |}{col 14}{res}{space 2} .1180221{col 26}{space 2} .0306041{col 37}{space 1}    3.86{col 46}{space 3}0.000{col 54}{space 4} .0580392{col 67}{space 3} .1780051
{txt}{space 6} 15 0  {c |}{col 14}{res}{space 2} .0835958{col 26}{space 2} .0175916{col 37}{space 1}    4.75{col 46}{space 3}0.000{col 54}{space 4}  .049117{col 67}{space 3} .1180747
{txt}{space 6} 15 1  {c |}{col 14}{res}{space 2} .1234262{col 26}{space 2} .0309697{col 37}{space 1}    3.99{col 46}{space 3}0.000{col 54}{space 4} .0627267{col 67}{space 3} .1841258
{txt}{space 6} 16 0  {c |}{col 14}{res}{space 2} .0824984{col 26}{space 2} .0168964{col 37}{space 1}    4.88{col 46}{space 3}0.000{col 54}{space 4} .0493821{col 67}{space 3} .1156148
{txt}{space 6} 16 1  {c |}{col 14}{res}{space 2} .1289489{col 26}{space 2} .0313251{col 37}{space 1}    4.12{col 46}{space 3}0.000{col 54}{space 4} .0675527{col 67}{space 3}  .190345
{txt}{space 6} 17 0  {c |}{col 14}{res}{space 2} .0814338{col 26}{space 2} .0162551{col 37}{space 1}    5.01{col 46}{space 3}0.000{col 54}{space 4} .0495745{col 67}{space 3} .1132932
{txt}{space 6} 17 1  {c |}{col 14}{res}{space 2} .1345841{col 26}{space 2} .0316737{col 37}{space 1}    4.25{col 46}{space 3}0.000{col 54}{space 4} .0725049{col 67}{space 3} .1966634
{txt}{space 6} 18 0  {c |}{col 14}{res}{space 2} .0804012{col 26}{space 2} .0156657{col 37}{space 1}    5.13{col 46}{space 3}0.000{col 54}{space 4}  .049697{col 67}{space 3} .1111054
{txt}{space 6} 18 1  {c |}{col 14}{res}{space 2} .1403255{col 26}{space 2} .0320189{col 37}{space 1}    4.38{col 46}{space 3}0.000{col 54}{space 4} .0775695{col 67}{space 3} .2030814
{txt}{space 6} 19 0  {c |}{col 14}{res}{space 2} .0793997{col 26}{space 2} .0151263{col 37}{space 1}    5.25{col 46}{space 3}0.000{col 54}{space 4} .0497527{col 67}{space 3} .1090466
{txt}{space 6} 19 1  {c |}{col 14}{res}{space 2} .1461656{col 26}{space 2} .0323651{col 37}{space 1}    4.52{col 46}{space 3}0.000{col 54}{space 4} .0827312{col 67}{space 3}    .2096
{txt}{space 6} 20 0  {c |}{col 14}{res}{space 2} .0784284{col 26}{space 2} .0146349{col 37}{space 1}    5.36{col 46}{space 3}0.000{col 54}{space 4} .0497445{col 67}{space 3} .1071122
{txt}{space 6} 20 1  {c |}{col 14}{res}{space 2} .1520968{col 26}{space 2} .0327164{col 37}{space 1}    4.65{col 46}{space 3}0.000{col 54}{space 4} .0879739{col 67}{space 3} .2162197
{txt}{space 6} 21 0  {c |}{col 14}{res}{space 2} .0774865{col 26}{space 2} .0141894{col 37}{space 1}    5.46{col 46}{space 3}0.000{col 54}{space 4} .0496758{col 67}{space 3} .1052972
{txt}{space 6} 21 1  {c |}{col 14}{res}{space 2} .1581107{col 26}{space 2} .0330774{col 37}{space 1}    4.78{col 46}{space 3}0.000{col 54}{space 4} .0932801{col 67}{space 3} .2229413
{txt}{space 6} 22 0  {c |}{col 14}{res}{space 2} .0765733{col 26}{space 2} .0137876{col 37}{space 1}    5.55{col 46}{space 3}0.000{col 54}{space 4} .0495501{col 67}{space 3} .1035965
{txt}{space 6} 22 1  {c |}{col 14}{res}{space 2} .1641982{col 26}{space 2}  .033453{col 37}{space 1}    4.91{col 46}{space 3}0.000{col 54}{space 4} .0986315{col 67}{space 3}  .229765
{txt}{space 6} 23 0  {c |}{col 14}{res}{space 2}  .075688{col 26}{space 2} .0134273{col 37}{space 1}    5.64{col 46}{space 3}0.000{col 54}{space 4}  .049371{col 67}{space 3}  .102005
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{txt}{space 6} 73 1  {c |}{col 14}{res}{space 2} .2998536{col 26}{space 2} .0506999{col 37}{space 1}    5.91{col 46}{space 3}0.000{col 54}{space 4} .2004836{col 67}{space 3} .3992236
{txt}{space 6} 74 0  {c |}{col 14}{res}{space 2} .0564871{col 26}{space 2} .0103241{col 37}{space 1}    5.47{col 46}{space 3}0.000{col 54}{space 4} .0362523{col 67}{space 3} .0767219
{txt}{space 6} 74 1  {c |}{col 14}{res}{space 2} .2956368{col 26}{space 2} .0496733{col 37}{space 1}    5.95{col 46}{space 3}0.000{col 54}{space 4} .1982789{col 67}{space 3} .3929946
{txt}{space 6} 75 0  {c |}{col 14}{res}{space 2} .0564958{col 26}{space 2} .0102593{col 37}{space 1}    5.51{col 46}{space 3}0.000{col 54}{space 4} .0363879{col 67}{space 3} .0766036
{txt}{space 6} 75 1  {c |}{col 14}{res}{space 2} .2911883{col 26}{space 2} .0486157{col 37}{space 1}    5.99{col 46}{space 3}0.000{col 54}{space 4} .1959033{col 67}{space 3} .3864732
{txt}{space 6} 76 0  {c |}{col 14}{res}{space 2} .0565173{col 26}{space 2} .0101958{col 37}{space 1}    5.54{col 46}{space 3}0.000{col 54}{space 4}  .036534{col 67}{space 3} .0765006
{txt}{space 6} 76 1  {c |}{col 14}{res}{space 2} .2865203{col 26}{space 2} .0475344{col 37}{space 1}    6.03{col 46}{space 3}0.000{col 54}{space 4} .1933546{col 67}{space 3} .3796861
{txt}{space 6} 77 0  {c |}{col 14}{res}{space 2} .0565516{col 26}{space 2} .0101341{col 37}{space 1}    5.58{col 46}{space 3}0.000{col 54}{space 4} .0366891{col 67}{space 3} .0764141
{txt}{space 6} 77 1  {c |}{col 14}{res}{space 2} .2816458{col 26}{space 2} .0464368{col 37}{space 1}    6.07{col 46}{space 3}0.000{col 54}{space 4} .1906313{col 67}{space 3} .3726603
{txt}{space 6} 78 0  {c |}{col 14}{res}{space 2} .0565988{col 26}{space 2} .0100751{col 37}{space 1}    5.62{col 46}{space 3}0.000{col 54}{space 4} .0368518{col 67}{space 3} .0763457
{txt}{space 6} 78 1  {c |}{col 14}{res}{space 2} .2765777{col 26}{space 2} .0453304{col 37}{space 1}    6.10{col 46}{space 3}0.000{col 54}{space 4} .1877317{col 67}{space 3} .3654238
{txt}{space 6} 79 0  {c |}{col 14}{res}{space 2} .0566588{col 26}{space 2} .0100197{col 37}{space 1}    5.65{col 46}{space 3}0.000{col 54}{space 4} .0370206{col 67}{space 3}  .076297
{txt}{space 6} 79 1  {c |}{col 14}{res}{space 2} .2713297{col 26}{space 2} .0442227{col 37}{space 1}    6.14{col 46}{space 3}0.000{col 54}{space 4} .1846548{col 67}{space 3} .3580046
{txt}{space 6} 80 0  {c |}{col 14}{res}{space 2} .0567318{col 26}{space 2} .0099685{col 37}{space 1}    5.69{col 46}{space 3}0.000{col 54}{space 4} .0371938{col 67}{space 3} .0762697
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{txt}{space 6} 81 0  {c |}{col 14}{res}{space 2} .0568177{col 26}{space 2} .0099228{col 37}{space 1}    5.73{col 46}{space 3}0.000{col 54}{space 4} .0373694{col 67}{space 3}  .076266
{txt}{space 6} 81 1  {c |}{col 14}{res}{space 2} .2603492{col 26}{space 2} .0420325{col 37}{space 1}    6.19{col 46}{space 3}0.000{col 54}{space 4} .1779669{col 67}{space 3} .3427314
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{txt}{space 6} 82 1  {c |}{col 14}{res}{space 2} .2546449{col 26}{space 2} .0409642{col 37}{space 1}    6.22{col 46}{space 3}0.000{col 54}{space 4} .1743565{col 67}{space 3} .3349333
{txt}{space 6} 83 0  {c |}{col 14}{res}{space 2} .0570287{col 26}{space 2} .0098517{col 37}{space 1}    5.79{col 46}{space 3}0.000{col 54}{space 4} .0377197{col 67}{space 3} .0763376
{txt}{space 6} 83 1  {c |}{col 14}{res}{space 2} .2488169{col 26}{space 2} .0399226{col 37}{space 1}    6.23{col 46}{space 3}0.000{col 54}{space 4}   .17057{col 67}{space 3} .3270637
{txt}{space 6} 84 0  {c |}{col 14}{res}{space 2} .0571539{col 26}{space 2} .0098287{col 37}{space 1}    5.81{col 46}{space 3}0.000{col 54}{space 4}   .03789{col 67}{space 3} .0764178
{txt}{space 6} 84 1  {c |}{col 14}{res}{space 2} .2428796{col 26}{space 2} .0389137{col 37}{space 1}    6.24{col 46}{space 3}0.000{col 54}{space 4} .1666101{col 67}{space 3}  .319149
{txt}{space 6} 85 0  {c |}{col 14}{res}{space 2} .0572923{col 26}{space 2} .0098158{col 37}{space 1}    5.84{col 46}{space 3}0.000{col 54}{space 4} .0380537{col 67}{space 3}  .076531
{txt}{space 6} 85 1  {c |}{col 14}{res}{space 2} .2368472{col 26}{space 2} .0379429{col 37}{space 1}    6.24{col 46}{space 3}0.000{col 54}{space 4} .1624804{col 67}{space 3}  .311214
{txt}{space 6} 86 0  {c |}{col 14}{res}{space 2} .0574442{col 26}{space 2} .0098144{col 37}{space 1}    5.85{col 46}{space 3}0.000{col 54}{space 4} .0382083{col 67}{space 3}   .07668
{txt}{space 6} 86 1  {c |}{col 14}{res}{space 2} .2307341{col 26}{space 2} .0370151{col 37}{space 1}    6.23{col 46}{space 3}0.000{col 54}{space 4} .1581859{col 67}{space 3} .3032823
{txt}{space 6} 87 0  {c |}{col 14}{res}{space 2} .0576094{col 26}{space 2} .0098259{col 37}{space 1}    5.86{col 46}{space 3}0.000{col 54}{space 4} .0383511{col 67}{space 3} .0768678
{txt}{space 6} 87 1  {c |}{col 14}{res}{space 2} .2245543{col 26}{space 2}  .036134{col 37}{space 1}    6.21{col 46}{space 3}0.000{col 54}{space 4} .1537329{col 67}{space 3} .2953757
{txt}{space 6} 88 0  {c |}{col 14}{res}{space 2} .0577883{col 26}{space 2} .0098518{col 37}{space 1}    5.87{col 46}{space 3}0.000{col 54}{space 4} .0384791{col 67}{space 3} .0770974
{txt}{space 6} 88 1  {c |}{col 14}{res}{space 2} .2183219{col 26}{space 2} .0353029{col 37}{space 1}    6.18{col 46}{space 3}0.000{col 54}{space 4} .1491295{col 67}{space 3} .2875142
{txt}{space 6} 89 0  {c |}{col 14}{res}{space 2} .0579808{col 26}{space 2} .0098937{col 37}{space 1}    5.86{col 46}{space 3}0.000{col 54}{space 4} .0385896{col 67}{space 3}  .077372
{txt}{space 6} 89 1  {c |}{col 14}{res}{space 2} .2120505{col 26}{space 2} .0345237{col 37}{space 1}    6.14{col 46}{space 3}0.000{col 54}{space 4} .1443854{col 67}{space 3} .2797157
{txt}{space 6} 90 0  {c |}{col 14}{res}{space 2} .0581871{col 26}{space 2} .0099531{col 37}{space 1}    5.85{col 46}{space 3}0.000{col 54}{space 4} .0386795{col 67}{space 3} .0776948
{txt}{space 6} 90 1  {c |}{col 14}{res}{space 2} .2057537{col 26}{space 2} .0337975{col 37}{space 1}    6.09{col 46}{space 3}0.000{col 54}{space 4} .1395118{col 67}{space 3} .2719955
{txt}{space 6} 91 0  {c |}{col 14}{res}{space 2} .0584075{col 26}{space 2} .0100316{col 37}{space 1}    5.82{col 46}{space 3}0.000{col 54}{space 4} .0387458{col 67}{space 3} .0780691
{txt}{space 6} 91 1  {c |}{col 14}{res}{space 2} .1994445{col 26}{space 2} .0331244{col 37}{space 1}    6.02{col 46}{space 3}0.000{col 54}{space 4} .1345218{col 67}{space 3} .2643672
{txt}{space 6} 92 0  {c |}{col 14}{res}{space 2} .0586419{col 26}{space 2} .0101309{col 37}{space 1}    5.79{col 46}{space 3}0.000{col 54}{space 4} .0387857{col 67}{space 3} .0784981
{txt}{space 6} 92 1  {c |}{col 14}{res}{space 2} .1931357{col 26}{space 2} .0325036{col 37}{space 1}    5.94{col 46}{space 3}0.000{col 54}{space 4} .1294299{col 67}{space 3} .2568415
{txt}{space 6} 93 0  {c |}{col 14}{res}{space 2} .0588906{col 26}{space 2} .0102525{col 37}{space 1}    5.74{col 46}{space 3}0.000{col 54}{space 4} .0387961{col 67}{space 3} .0789852
{txt}{space 6} 93 1  {c |}{col 14}{res}{space 2} .1868398{col 26}{space 2}  .031933{col 37}{space 1}    5.85{col 46}{space 3}0.000{col 54}{space 4} .1242524{col 67}{space 3} .2494273
{txt}{space 6} 94 0  {c |}{col 14}{res}{space 2} .0591538{col 26}{space 2} .0103979{col 37}{space 1}    5.69{col 46}{space 3}0.000{col 54}{space 4} .0387743{col 67}{space 3} .0795334
{txt}{space 6} 94 1  {c |}{col 14}{res}{space 2} .1805687{col 26}{space 2} .0314099{col 37}{space 1}    5.75{col 46}{space 3}0.000{col 54}{space 4} .1190065{col 67}{space 3} .2421309
{txt}{space 6} 95 0  {c |}{col 14}{res}{space 2} .0594316{col 26}{space 2} .0105686{col 37}{space 1}    5.62{col 46}{space 3}0.000{col 54}{space 4} .0387175{col 67}{space 3} .0801457
{txt}{space 6} 95 1  {c |}{col 14}{res}{space 2} .1743338{col 26}{space 2} .0309307{col 37}{space 1}    5.64{col 46}{space 3}0.000{col 54}{space 4} .1137107{col 67}{space 3}  .234957
{txt}{space 6} 96 0  {c |}{col 14}{res}{space 2} .0597243{col 26}{space 2}  .010766{col 37}{space 1}    5.55{col 46}{space 3}0.000{col 54}{space 4} .0386234{col 67}{space 3} .0808252
{txt}{space 6} 96 1  {c |}{col 14}{res}{space 2} .1681462{col 26}{space 2} .0304913{col 37}{space 1}    5.51{col 46}{space 3}0.000{col 54}{space 4} .1083843{col 67}{space 3} .2279081
{txt}{space 6} 97 0  {c |}{col 14}{res}{space 2}  .060032{col 26}{space 2} .0109913{col 37}{space 1}    5.46{col 46}{space 3}0.000{col 54}{space 4} .0384894{col 67}{space 3} .0815746
{txt}{space 6} 97 1  {c |}{col 14}{res}{space 2} .1620163{col 26}{space 2} .0300869{col 37}{space 1}    5.38{col 46}{space 3}0.000{col 54}{space 4}  .103047{col 67}{space 3} .2209856
{txt}{space 6} 98 0  {c |}{col 14}{res}{space 2}  .060355{col 26}{space 2} .0112458{col 37}{space 1}    5.37{col 46}{space 3}0.000{col 54}{space 4} .0383135{col 67}{space 3} .0823964
{txt}{space 6} 98 1  {c |}{col 14}{res}{space 2}  .155954{col 26}{space 2} .0297125{col 37}{space 1}    5.25{col 46}{space 3}0.000{col 54}{space 4} .0977186{col 67}{space 3} .2141894
{txt}{space 6} 99 0  {c |}{col 14}{res}{space 2} .0606934{col 26}{space 2} .0115307{col 37}{space 1}    5.26{col 46}{space 3}0.000{col 54}{space 4} .0380937{col 67}{space 3} .0832931
{txt}{space 6} 99 1  {c |}{col 14}{res}{space 2} .1499686{col 26}{space 2} .0293627{col 37}{space 1}    5.11{col 46}{space 3}0.000{col 54}{space 4} .0924188{col 67}{space 3} .2075184
{txt}{space 6}100 0  {c |}{col 14}{res}{space 2} .0610476{col 26}{space 2} .0118468{col 37}{space 1}    5.15{col 46}{space 3}0.000{col 54}{space 4} .0378284{col 67}{space 3} .0842668
{txt}{space 6}100 1  {c |}{col 14}{res}{space 2}  .144069{col 26}{space 2} .0290322{col 37}{space 1}    4.96{col 46}{space 3}0.000{col 54}{space 4}  .087167{col 67}{space 3}  .200971
{txt}{space 6}101 0  {c |}{col 14}{res}{space 2} .0614177{col 26}{space 2} .0121951{col 37}{space 1}    5.04{col 46}{space 3}0.000{col 54}{space 4} .0375158{col 67}{space 3} .0853197
{txt}{space 6}101 1  {c |}{col 14}{res}{space 2} .1382633{col 26}{space 2} .0287156{col 37}{space 1}    4.81{col 46}{space 3}0.000{col 54}{space 4} .0819817{col 67}{space 3} .1945449
{txt}{space 6}102 0  {c |}{col 14}{res}{space 2} .0618041{col 26}{space 2} .0125764{col 37}{space 1}    4.91{col 46}{space 3}0.000{col 54}{space 4} .0371548{col 67}{space 3} .0864535
{txt}{space 6}102 1  {c |}{col 14}{res}{space 2} .1325591{col 26}{space 2}  .028408{col 37}{space 1}    4.67{col 46}{space 3}0.000{col 54}{space 4} .0768804{col 67}{space 3} .1882378
{txt}{space 6}103 0  {c |}{col 14}{res}{space 2} .0622071{col 26}{space 2} .0129916{col 37}{space 1}    4.79{col 46}{space 3}0.000{col 54}{space 4} .0367441{col 67}{space 3} .0876701
{txt}{space 6}103 1  {c |}{col 14}{res}{space 2} .1269633{col 26}{space 2} .0281044{col 37}{space 1}    4.52{col 46}{space 3}0.000{col 54}{space 4} .0718796{col 67}{space 3}  .182047
{txt}{space 6}104 0  {c |}{col 14}{res}{space 2} .0626268{col 26}{space 2} .0134412{col 37}{space 1}    4.66{col 46}{space 3}0.000{col 54}{space 4} .0362826{col 67}{space 3}  .088971
{txt}{space 6}104 1  {c |}{col 14}{res}{space 2} .1214823{col 26}{space 2} .0278005{col 37}{space 1}    4.37{col 46}{space 3}0.000{col 54}{space 4} .0669944{col 67}{space 3} .1759703
{txt}{space 6}105 0  {c |}{col 14}{res}{space 2} .0630637{col 26}{space 2} .0139259{col 37}{space 1}    4.53{col 46}{space 3}0.000{col 54}{space 4} .0357695{col 67}{space 3} .0903579
{txt}{space 6}105 1  {c |}{col 14}{res}{space 2} .1161219{col 26}{space 2}  .027492{col 37}{space 1}    4.22{col 46}{space 3}0.000{col 54}{space 4} .0622386{col 67}{space 3} .1700053
{txt}{space 6}106 0  {c |}{col 14}{res}{space 2}  .063518{col 26}{space 2} .0144463{col 37}{space 1}    4.40{col 46}{space 3}0.000{col 54}{space 4} .0352038{col 67}{space 3} .0918322
{txt}{space 6}106 1  {c |}{col 14}{res}{space 2} .1108872{col 26}{space 2} .0271755{col 37}{space 1}    4.08{col 46}{space 3}0.000{col 54}{space 4} .0576242{col 67}{space 3} .1641502
{txt}{space 6}107 0  {c |}{col 14}{res}{space 2} .0639901{col 26}{space 2}  .015003{col 37}{space 1}    4.27{col 46}{space 3}0.000{col 54}{space 4} .0345847{col 67}{space 3} .0933955
{txt}{space 6}107 1  {c |}{col 14}{res}{space 2} .1057827{col 26}{space 2} .0268478{col 37}{space 1}    3.94{col 46}{space 3}0.000{col 54}{space 4} .0531621{col 67}{space 3} .1584034
{txt}{space 6}108 0  {c |}{col 14}{res}{space 2} .0644803{col 26}{space 2} .0155967{col 37}{space 1}    4.13{col 46}{space 3}0.000{col 54}{space 4} .0339114{col 67}{space 3} .0950492
{txt}{space 6}108 1  {c |}{col 14}{res}{space 2} .1008125{col 26}{space 2} .0265062{col 37}{space 1}    3.80{col 46}{space 3}0.000{col 54}{space 4} .0488613{col 67}{space 3} .1527638
{txt}{space 6}109 0  {c |}{col 14}{res}{space 2} .0649889{col 26}{space 2} .0162278{col 37}{space 1}    4.00{col 46}{space 3}0.000{col 54}{space 4} .0331831{col 67}{space 3} .0967948
{txt}{space 6}109 1  {c |}{col 14}{res}{space 2} .0959799{col 26}{space 2} .0261487{col 37}{space 1}    3.67{col 46}{space 3}0.000{col 54}{space 4} .0447294{col 67}{space 3} .1472304
{txt}{space 6}110 0  {c |}{col 14}{res}{space 2} .0655165{col 26}{space 2}  .016897{col 37}{space 1}    3.88{col 46}{space 3}0.000{col 54}{space 4}  .032399{col 67}{space 3} .0986339
{txt}{space 6}110 1  {c |}{col 14}{res}{space 2} .0912878{col 26}{space 2} .0257735{col 37}{space 1}    3.54{col 46}{space 3}0.000{col 54}{space 4} .0407726{col 67}{space 3} .1418029
{txt}{space 6}111 0  {c |}{col 14}{res}{space 2} .0660632{col 26}{space 2} .0176049{col 37}{space 1}    3.75{col 46}{space 3}0.000{col 54}{space 4} .0315583{col 67}{space 3} .1005682
{txt}{space 6}111 1  {c |}{col 14}{res}{space 2} .0867383{col 26}{space 2} .0253794{col 37}{space 1}    3.42{col 46}{space 3}0.001{col 54}{space 4} .0369955{col 67}{space 3}  .136481
{txt}{space 6}112 0  {c |}{col 14}{res}{space 2} .0666297{col 26}{space 2} .0183522{col 37}{space 1}    3.63{col 46}{space 3}0.000{col 54}{space 4}   .03066{col 67}{space 3} .1025994
{txt}{space 6}112 1  {c |}{col 14}{res}{space 2} .0823332{col 26}{space 2} .0249656{col 37}{space 1}    3.30{col 46}{space 3}0.001{col 54}{space 4} .0334015{col 67}{space 3}  .131265
{txt}{space 6}113 0  {c |}{col 14}{res}{space 2} .0672162{col 26}{space 2} .0191397{col 37}{space 1}    3.51{col 46}{space 3}0.000{col 54}{space 4}  .029703{col 67}{space 3} .1047294
{txt}{space 6}113 1  {c |}{col 14}{res}{space 2} .0780739{col 26}{space 2} .0245318{col 37}{space 1}    3.18{col 46}{space 3}0.001{col 54}{space 4} .0299925{col 67}{space 3} .1261553
{txt}{space 6}114 0  {c |}{col 14}{res}{space 2} .0678233{col 26}{space 2} .0199682{col 37}{space 1}    3.40{col 46}{space 3}0.001{col 54}{space 4} .0286863{col 67}{space 3} .1069602
{txt}{space 6}114 1  {c |}{col 14}{res}{space 2}  .073961{col 26}{space 2} .0240778{col 37}{space 1}    3.07{col 46}{space 3}0.002{col 54}{space 4} .0267694{col 67}{space 3} .1211526
{txt}{space 6}115 0  {c |}{col 14}{res}{space 2} .0684513{col 26}{space 2} .0208385{col 37}{space 1}    3.28{col 46}{space 3}0.001{col 54}{space 4} .0276086{col 67}{space 3}  .109294
{txt}{space 6}115 1  {c |}{col 14}{res}{space 2} .0699948{col 26}{space 2} .0236039{col 37}{space 1}    2.97{col 46}{space 3}0.003{col 54}{space 4} .0237319{col 67}{space 3} .1162577
{txt}{space 6}116 0  {c |}{col 14}{res}{space 2} .0691008{col 26}{space 2} .0217515{col 37}{space 1}    3.18{col 46}{space 3}0.001{col 54}{space 4} .0264687{col 67}{space 3} .1117329
{txt}{space 6}116 1  {c |}{col 14}{res}{space 2} .0661752{col 26}{space 2} .0231109{col 37}{space 1}    2.86{col 46}{space 3}0.004{col 54}{space 4} .0208787{col 67}{space 3} .1114716
{txt}{space 6}117 0  {c |}{col 14}{res}{space 2} .0697723{col 26}{space 2} .0227082{col 37}{space 1}    3.07{col 46}{space 3}0.002{col 54}{space 4}  .025265{col 67}{space 3} .1142796
{txt}{space 6}117 1  {c |}{col 14}{res}{space 2} .0625015{col 26}{space 2} .0225994{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0182075{col 67}{space 3} .1067955
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         parmest, saving("$path\tableSI46_model6_effects.dta", replace) format(estimate min95 max95);
{txt}file C:\Users\scharpf\Dropbox\ArgentinaWorldCup\replication\replicationfiles\tableSI46_model6_effects.dta saved

{com}.                                 #delimit cr
{txt}delimiter now cr
{com}.                 
. 
.         *2) Preparing data for plotting 
.         
.         *Preserving data
.         preserve
{txt}
{com}.         
.         *Loading effects data
.         use "$path\tableSI46_model6_effects.dta", clear         
{txt}
{com}.         
.         *Identifying host and non-host cities
.         gen hostcity="hc_" if regexm(parm, "1.hostcity$")
{txt}(117 missing values generated)

{com}.         replace hostcity="nohc_" if regexm(parm, "0.hostcity$") & hostcity==""
{txt}variable {bf}hostcity{sf} was {bf}{res}str3{sf}{txt} now {bf}{res}str5{sf}
{txt}(117 real changes made)

{com}.         
.         *Identifying time values
.         gen time=regexs(0) if regexm(parm,"^[0-9]+")
{txt}
{com}.         destring time, replace
{txt}time: all characters numeric; {res}replaced {txt}as {res}int
{txt}
{com}.         
.         *Dropping unused variables
.         drop parm z p
{txt}
{com}.         
.         *Reshaping data
.         reshape wide @estimate @stderr @min95 @max95, i(time) j(hostcity) string 
{txt}(note: j = hc_ nohc_)

Data{col 36}long{col 43}->{col 48}wide
{hline 77}
Number of obs.                 {res}     234   {txt}->{res}     117
{txt}Number of variables            {res}       6   {txt}->{res}       9
{txt}j variable (2 values)          {res}hostcity   {txt}->   (dropped)
xij variables:
                               {res}estimate   {txt}->   {res}hc_estimate nohc_estimate
                                 stderr   {txt}->   {res}hc_stderr nohc_stderr
                                  min95   {txt}->   {res}hc_min95 nohc_min95
                                  max95   {txt}->   {res}hc_max95 nohc_max95
{txt}{hline 77}

{com}.         
.         *Generating day variable
.         gen days=_n-1
{txt}
{com}.         
.         *Generating STATA date variables
.         gen date=td(1mar1978) in 1
{txt}(116 missing values generated)

{com}.         replace date=date[_n-1]+1 if date==.
{txt}(116 real changes made)

{com}.         format date %td
{txt}
{com}.         
.         *Generating event window
.         gen eventx=days if date>=td(01jun1978)
{txt}(92 missing values generated)

{com}.         gen eventylow=0 if eventx!=.
{txt}(92 missing values generated)

{com}.         gen eventyhigh=0.51 if eventx!=.        
{txt}(92 missing values generated)

{com}.         
.         
.         *3) Plotting Figure 6
.         
.         #delimit ;              
{txt}delimiter now ;
{com}.         twoway (rarea eventylow eventyhigh eventx, 
>                                         lwidth(0) fcolor(gs15)
>                         )
>                     (rarea nohc_min95 nohc_max95 days,
>                                         lwidth(0) fcolor(gs11%60)
>                         )
>                     (rarea hc_min95 hc_max95 days,
>                                         lwidth(0) fcolor(gs11%60)
>                         )
>                     (line nohc_estimate days,
>                                         lwidth(*1.3)
>                                         lcolor(black)
>                                         lpattern(shortdash)
>                          )
>                     (line hc_estimate days,     
>                                          lcolor(black) lwidth(*2)
>                         )
>                                         ,
>                                         ysize(1)
>                                         xsize(1.1) 
>                                         yscale(range(0 .26) noextend titlegap(*+5))
>                                         xscale(range(0 120) noextend titlegap(*+10)) 
>                                         ylabel(, 
>                                                         nogrid labsize(small) angle(0)
>                                         )
>                                         xlabel(-0.5 "March 1" 30.5 "April 1" 60.5 "May 1" 91.5 "June 1" 116.5 "June 25",
>                                                         labsize(small)
>                                         )
>                                         ytitle("Predicted number of daily repression events")
>                                         xtitle("Date")
>                                         legend(
>                                                 order(5 "Host cities" 4 "Matched non-host cities") 
>                                                 size(*1) keygap(*0.5) symxsize(*0.5) symysize(*0.5)
>                                                  bmargin(0 0 0 2)
>                                         )
>                                         text(.5 104.25 "World Cup", place(s) size(*1))
>                                         yline(0, lpattern(dot) lcolor(black) noextend)                                  
>                                         graphregion(color(white) lcolor(white) lalign(outside))
>                                         ;
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.         graph export "$path\figure_6.pdf", as(pdf) replace      
{txt}(file C:\Users\scharpf\Dropbox\ArgentinaWorldCup\replication\replicationfiles\figure_6.pdf written in PDF format)

{com}.                 
.         *Restoring data
.         restore 
{txt}
{com}.         
.         
.         
.         ****************************************************************************
.         *Figure 7: Types of repression before and during the 1978 World Cup
.         ****************************************************************************    
.         
.         *1) Calculating substantive effects     
.         
.         *Preserving data
.         preserve
{txt}
{com}.         
.         *Loading data
.         use "$path\figure_7_data.dta"   
{txt}
{com}.         
.         *Estimating Model 1, Table SI.5.1       
.         #delimit ;
{txt}delimiter now ;
{com}.         nbreg disappear 
>                   i.timedum2 
>                   i.timedum3 
>                   i.timedum4
>                   , 
>                   robust                        
>         ;

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-234.86278}  
Iteration 1:{space 3}log pseudolikelihood = {res: -234.8626}  
Iteration 2:{space 3}log pseudolikelihood = {res: -234.8626}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-236.80151}  
Iteration 1:{space 3}log pseudolikelihood = {res:-231.67359}  
Iteration 2:{space 3}log pseudolikelihood = {res:-231.64229}  
Iteration 3:{space 3}log pseudolikelihood = {res:-231.64226}  
Iteration 4:{space 3}log pseudolikelihood = {res:-231.64226}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -225.0019}  
Iteration 1:{space 3}log pseudolikelihood = {res:-224.30345}  
Iteration 2:{space 3}log pseudolikelihood = {res:-224.29199}  
Iteration 3:{space 3}log pseudolikelihood = {res:-224.29199}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}       117
{txt}{col 49}Wald chi2({res}3{txt}){col 67}= {res}     15.19
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0017
{txt}Log pseudolikelihood = {res}-224.29199{txt}{col 49}Pseudo R2{col 67}= {res}    0.0317

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   disappear{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}1.timedum2 {c |}{col 14}{res}{space 2}-.0689929{col 26}{space 2} .2060417{col 37}{space 1}   -0.33{col 46}{space 3}0.738{col 54}{space 4}-.4728272{col 67}{space 3} .3348414
{txt}{space 2}1.timedum3 {c |}{col 14}{res}{space 2} .5823958{col 26}{space 2} .2032808{col 37}{space 1}    2.86{col 46}{space 3}0.004{col 54}{space 4} .1839728{col 67}{space 3} .9808187
{txt}{space 2}1.timedum4 {c |}{col 14}{res}{space 2}-.2231435{col 26}{space 2} .2959746{col 37}{space 1}   -0.75{col 46}{space 3}0.451{col 54}{space 4}-.8032431{col 67}{space 3}  .356956
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .6931472{col 26}{space 2} .1484608{col 37}{space 1}    4.67{col 46}{space 3}0.000{col 54}{space 4} .4021693{col 67}{space 3}  .984125
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}/lnalpha {c |}{col 14}{res}{space 2}-1.120687{col 26}{space 2} .3578331{col 54}{space 4}-1.822027{col 67}{space 3}-.4193468
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
       alpha {c |}{col 14}{res}{space 2} .3260558{col 26}{space 2} .1166736{col 54}{space 4} .1616977{col 67}{space 3} .6574762
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         #delimit cr             
{txt}delimiter now cr
{com}.         
.         *Calculating effects and exporting effects data 
.         #delimit ;                              
{txt}delimiter now ;
{com}.         margins, 
>                          at(timedum2=0 timedum3=0 timedum4=0) 
>                          at(timedum2=1 timedum3=0 timedum4=0) 
>                          at(timedum2=0 timedum3=1 timedum4=0) 
>                          at(timedum2=0 timedum3=0 timedum4=1)                    
>                          level(95) 
>                          post;
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       117
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Predicted number of events, predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:timedum2}{space 8}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:timedum3}{space 8}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:timedum4}{space 8}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:timedum2}{space 8}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:timedum3}{space 8}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:timedum4}{space 8}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:timedum2}{space 8}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:timedum3}{space 8}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:timedum4}{space 8}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:timedum2}{space 8}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:timedum3}{space 8}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:timedum4}{space 8}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}        2{col 26}{space 2} .2969217{col 37}{space 1}    6.74{col 46}{space 3}0.000{col 54}{space 4} 1.418044{col 67}{space 3} 2.581956
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 1.866667{col 26}{space 2} .2666954{col 37}{space 1}    7.00{col 46}{space 3}0.000{col 54}{space 4} 1.343953{col 67}{space 3}  2.38938
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 3.580645{col 26}{space 2} .4972128{col 37}{space 1}    7.20{col 46}{space 3}0.000{col 54}{space 4} 2.606126{col 67}{space 3} 4.555164
{txt}{space 10}4  {c |}{col 14}{res}{space 2}      1.6{col 26}{space 2} .4096761{col 37}{space 1}    3.91{col 46}{space 3}0.000{col 54}{space 4} .7970496{col 67}{space 3}  2.40295
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         parmest, saving("$path\tableSI51_model1_effects.dta", replace) 
>                          format(estimate min95 max95)
>                          rename(estimate disappear_estimate min95 disappear_min95 max95 disappear_max95) 
>                          ;
{txt}file C:\Users\scharpf\Dropbox\ArgentinaWorldCup\replication\replicationfiles\tableSI51_model1_effects.dta saved

{com}.                 #delimit cr             
{txt}delimiter now cr
{com}. 
.         *Estimating Model 3, Table SI.5.1               
.         #delimit ;
{txt}delimiter now ;
{com}.         nbreg kill 
>                   i.timedum2 
>                   i.timedum3 
>                   i.timedum4
>                   , 
>                   robust                        
>         ;

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-66.472751}  
Iteration 1:{space 3}log pseudolikelihood = {res:-66.468093}  
Iteration 2:{space 3}log pseudolikelihood = {res:-66.468092}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-64.327502}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-57.663923}  
Iteration 2:{space 3}log pseudolikelihood = {res: -57.57259}  
Iteration 3:{space 3}log pseudolikelihood = {res:-57.572566}  
Iteration 4:{space 3}log pseudolikelihood = {res:-57.572566}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-55.585903}  
Iteration 1:{space 3}log pseudolikelihood = {res:-55.110124}  
Iteration 2:{space 3}log pseudolikelihood = {res:-55.044981}  
Iteration 3:{space 3}log pseudolikelihood = {res:-55.044725}  
Iteration 4:{space 3}log pseudolikelihood = {res:-55.044725}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}       117
{txt}{col 49}Wald chi2({res}3{txt}){col 67}= {res}      5.97
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.1133
{txt}Log pseudolikelihood = {res}-55.044725{txt}{col 49}Pseudo R2{col 67}= {res}    0.0439

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}        kill{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}1.timedum2 {c |}{col 14}{res}{space 2}-.5862494{col 26}{space 2} .7387579{col 37}{space 1}   -0.79{col 46}{space 3}0.427{col 54}{space 4}-2.034188{col 67}{space 3} .8616895
{txt}{space 2}1.timedum3 {c |}{col 14}{res}{space 2}-1.871802{col 26}{space 2}  1.07906{col 37}{space 1}   -1.73{col 46}{space 3}0.083{col 54}{space 4}-3.986721{col 67}{space 3} .2431167
{txt}{space 2}1.timedum4 {c |}{col 14}{res}{space 2}-1.656691{col 26}{space 2}  .807621{col 37}{space 1}   -2.05{col 46}{space 3}0.040{col 54}{space 4}-3.239599{col 67}{space 3}-.0737828
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.8690378{col 26}{space 2} .4339195{col 37}{space 1}   -2.00{col 46}{space 3}0.045{col 54}{space 4}-1.719504{col 67}{space 3}-.0185713
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}/lnalpha {c |}{col 14}{res}{space 2} 1.796356{col 26}{space 2} .4573441{col 54}{space 4} .8999784{col 67}{space 3} 2.692734
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
       alpha {c |}{col 14}{res}{space 2} 6.027644{col 26}{space 2} 2.756707{col 54}{space 4}  2.45955{col 67}{space 3} 14.77201
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         #delimit cr     
{txt}delimiter now cr
{com}.         
.         *Calculating effects and exporting effects data 
.         #delimit ;                              
{txt}delimiter now ;
{com}.         margins, 
>                          at(timedum2=0 timedum3=0 timedum4=0) 
>                          at(timedum2=1 timedum3=0 timedum4=0) 
>                          at(timedum2=0 timedum3=1 timedum4=0) 
>                          at(timedum2=0 timedum3=0 timedum4=1)                    
>                          level(95) 
>                          post;
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       117
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Predicted number of events, predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:timedum2}{space 8}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:timedum3}{space 8}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:timedum4}{space 8}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:timedum2}{space 8}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:timedum3}{space 8}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:timedum4}{space 8}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:timedum2}{space 8}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:timedum3}{space 8}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:timedum4}{space 8}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:timedum2}{space 8}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:timedum3}{space 8}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:timedum4}{space 8}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .4193548{col 26}{space 2} .1819662{col 37}{space 1}    2.30{col 46}{space 3}0.021{col 54}{space 4} .0627076{col 67}{space 3} .7760021
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .2333333{col 26}{space 2} .1395086{col 37}{space 1}    1.67{col 46}{space 3}0.094{col 54}{space 4}-.0400985{col 67}{space 3} .5067651
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0645161{col 26}{space 2}   .06374{col 37}{space 1}    1.01{col 46}{space 3}0.311{col 54}{space 4} -.060412{col 67}{space 3} .1894442
{txt}{space 10}4  {c |}{col 14}{res}{space 2}      .08{col 26}{space 2}  .054492{col 37}{space 1}    1.47{col 46}{space 3}0.142{col 54}{space 4}-.0268024{col 67}{space 3} .1868024
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         parmest, saving("$path\tableSI51_model3_effects.dta", replace) 
>                          format(estimate min95 max95)
>                          rename(estimate kill_estimate min95 kill_min95 max95 kill_max95) 
>                          ;
{txt}file C:\Users\scharpf\Dropbox\ArgentinaWorldCup\replication\replicationfiles\tableSI51_model3_effects.dta saved

{com}.                 #delimit cr     
{txt}delimiter now cr
{com}.         
.         *Restoring data
.         restore
{txt}
{com}.         
.         *2) Preparing data for plotting 
.         
.         *Preserving data
.         preserve
{txt}
{com}.         
.         *Loading effects data for disappearances
.         use "$path\tableSI51_model1_effects.dta", clear 
{txt}
{com}.         
.         *Dropping unused variables
.         drop stderr z p
{txt}
{com}.         
.         *Merging data with data for killings
.         merge 1:1 parm using "$path\tableSI51_model3_effects.dta"               
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}               0
{txt}{col 5}matched{col 30}{res}               4{txt}  (_merge==3)
{col 5}{hline 41}

{com}. 
.         *Dropping unused variables
.         drop stderr z p 
{txt}
{com}.         
.         *Identifying time values
.         gen xaxis=regexs(0) if regexm(parm,"^[0-9]+")
{txt}
{com}.         destring xaxis, replace 
{txt}xaxis: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         
.         
.         *3) Plotting Figure 7
.         
.         #delimit ;              
{txt}delimiter now ;
{com}.         twoway (rspike disappear_min95 disappear_max95 xaxis,
>                         lcolor(black) 
>                         )
>                         (rspike kill_min95 kill_max95 xaxis,
>                         lcolor(gs11)
>                         )
>                         (connected disappear_estimate xaxis,
>                         mcolor(black) lcolor(black) lpattern(shortdash)
>                         )       
>                         (connected kill_estimate xaxis,
>                         mcolor(gs11) lcolor(gs11) lpattern(shortdash)
>                         )                       
>                                         ,
>                                         ysize(1)
>                                         xsize(1.1) 
>                                         yscale(range(0 5) noextend titlegap(*+5))
>                                         xscale(range(.75 4.25) noextend titlegap(*+10)) 
>                                         ylabel(, 
>                                                         nogrid labsize(*.9) angle(0)
>                                         )
>                                         xlabel(1 "March" 2 "April" 3 "May" 4 `" "June" "(World Cup)" "',
>                                                         labsize(*.9)
>                                         )
>                                         ytitle("Predicted number of daily repression events")
>                                         xtitle("")
>                                         legend(
>                                                 cols(1)
>                                                 order(3 "Disappearances" 4 "Killings") 
>                                                 size(*1) keygap(*0.5) symxsize(*0.5) symysize(*0.5)
>                                          bmargin(0 0 0 0)
>                                         )                                                       
>                                         graphregion(color(white) lcolor(white) lalign(outside) margin(5 7 1 2))                         
>                                         ;
{res}{txt}
{com}.         #delimit cr
{txt}delimiter now cr
{com}.         graph export "$path\figure_7.pdf", as(pdf) replace      
{txt}(file C:\Users\scharpf\Dropbox\ArgentinaWorldCup\replication\replicationfiles\figure_7.pdf written in PDF format)

{com}.         
.         *Restoring data
.         restore                 
{txt}
{com}.                 
.         
.         
.         ****************************************************************************
.         *Figure 10: Changes in repression before, during, and after the World Cup
.         ****************************************************************************    
.         
.         *1) Calculating substantive effects     
.         
.         *Estimating Model 3, Table SI.6.1
.         #delimit ;
{txt}delimiter now ;
{com}.         reg lnrepression 
>                   i.biweek2#i.hostcity 
>                   i.biweek3#i.hostcity 
>                   i.biweek4#i.hostcity 
>                   i.biweek5#i.hostcity 
>                   i.biweek6#i.hostcity 
>                   i.biweek7#i.hostcity 
>                   i.biweek8#i.hostcity 
>                   i.biweek9#i.hostcity 
>                   i.biweek10#i.hostcity 
>                   i.biweek11#i.hostcity 
>                   i.biweek12#i.hostcity 
>                   i.biweek13#i.hostcity 
>                   i.biweek14#i.hostcity 
>                   i.biweek15#i.hostcity 
>                   i.hostcity
>                   i.biweek2 
>                   i.biweek3 
>                   i.biweek4 
>                   i.biweek5 
>                   i.biweek6 
>                   i.biweek7 
>                   i.biweek8 
>                   i.biweek9 
>                   i.biweek10 
>                   i.biweek11 
>                   i.biweek12 
>                   i.biweek13 
>                   i.biweek14
>                   i.biweek15              
>                   c.lnpop_1970 
>                   c.vote_frejuli 
>                   c.literacy_avg 
>                   c.lnrebact1974 
>                   c.lnrepression70_77 
>                   i.zone2 i.zone3 i.zone4 i.zone5
>                   , 
>                   robust                
>         ;

{txt}Linear regression                               Number of obs     = {res}    98,328
                                                {txt}F(38, 98289)      =  {res}     7.33
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0764
                                                {txt}Root MSE          =    {res} .04911

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}     lnrepression{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}biweek2#hostcity {c |}
{space 13}1 1  {c |}{col 19}{res}{space 2} .0356796{col 31}{space 2} .0414269{col 42}{space 1}    0.86{col 51}{space 3}0.389{col 59}{space 4}-.0455166{col 72}{space 3} .1168759
{txt}{space 17} {c |}
{space 1}biweek3#hostcity {c |}
{space 13}1 1  {c |}{col 19}{res}{space 2} .0277946{col 31}{space 2} .0429328{col 42}{space 1}    0.65{col 51}{space 3}0.517{col 59}{space 4}-.0563532{col 72}{space 3} .1119424
{txt}{space 17} {c |}
{space 1}biweek4#hostcity {c |}
{space 13}1 1  {c |}{col 19}{res}{space 2} .0394702{col 31}{space 2} .0450175{col 42}{space 1}    0.88{col 51}{space 3}0.381{col 59}{space 4}-.0487636{col 72}{space 3}  .127704
{txt}{space 17} {c |}
{space 1}biweek5#hostcity {c |}
{space 13}1 1  {c |}{col 19}{res}{space 2} .1521608{col 31}{space 2} .0609929{col 42}{space 1}    2.49{col 51}{space 3}0.013{col 59}{space 4} .0326153{col 72}{space 3} .2717062
{txt}{space 17} {c |}
{space 1}biweek6#hostcity {c |}
{space 13}1 1  {c |}{col 19}{res}{space 2} .1337804{col 31}{space 2} .0588375{col 42}{space 1}    2.27{col 51}{space 3}0.023{col 59}{space 4} .0184596{col 72}{space 3} .2491012
{txt}{space 17} {c |}
{space 1}biweek7#hostcity {c |}
{space 13}1 1  {c |}{col 19}{res}{space 2} .0821414{col 31}{space 2} .0456673{col 42}{space 1}    1.80{col 51}{space 3}0.072{col 59}{space 4}-.0073659{col 72}{space 3} .1716488
{txt}{space 17} {c |}
{space 1}biweek8#hostcity {c |}
{space 13}1 1  {c |}{col 19}{res}{space 2}-.0450068{col 31}{space 2} .0294648{col 42}{space 1}   -1.53{col 51}{space 3}0.127{col 59}{space 4}-.1027574{col 72}{space 3} .0127438
{txt}{space 17} {c |}
{space 1}biweek9#hostcity {c |}
{space 13}1 1  {c |}{col 19}{res}{space 2} .1373871{col 31}{space 2} .0605217{col 42}{space 1}    2.27{col 51}{space 3}0.023{col 59}{space 4} .0187652{col 72}{space 3} .2560089
{txt}{space 17} {c |}
biweek10#hostcity {c |}
{space 13}1 1  {c |}{col 19}{res}{space 2}  .117524{col 31}{space 2} .0572745{col 42}{space 1}    2.05{col 51}{space 3}0.040{col 59}{space 4} .0052667{col 72}{space 3} .2297813
{txt}{space 17} {c |}
biweek11#hostcity {c |}
{space 13}1 1  {c |}{col 19}{res}{space 2} .0989962{col 31}{space 2} .0529158{col 42}{space 1}    1.87{col 51}{space 3}0.061{col 59}{space 4}-.0047181{col 72}{space 3} .2027106
{txt}{space 17} {c |}
biweek12#hostcity {c |}
{space 13}1 1  {c |}{col 19}{res}{space 2} .0445748{col 31}{space 2} .0464195{col 42}{space 1}    0.96{col 51}{space 3}0.337{col 59}{space 4}-.0464069{col 72}{space 3} .1355565
{txt}{space 17} {c |}
biweek13#hostcity {c |}
{space 13}1 1  {c |}{col 19}{res}{space 2} .0229971{col 31}{space 2} .0434419{col 42}{space 1}    0.53{col 51}{space 3}0.597{col 59}{space 4}-.0621484{col 72}{space 3} .1081427
{txt}{space 17} {c |}
biweek14#hostcity {c |}
{space 13}1 1  {c |}{col 19}{res}{space 2}-.0140196{col 31}{space 2} .0335878{col 42}{space 1}   -0.42{col 51}{space 3}0.676{col 59}{space 4}-.0798512{col 72}{space 3} .0518119
{txt}{space 17} {c |}
biweek15#hostcity {c |}
{space 13}1 1  {c |}{col 19}{res}{space 2} .0150264{col 31}{space 2} .0427437{col 42}{space 1}    0.35{col 51}{space 3}0.725{col 59}{space 4}-.0687507{col 72}{space 3} .0988036
{txt}{space 17} {c |}
{space 7}1.hostcity {c |}{col 19}{res}{space 2} .0332784{col 31}{space 2} .0278057{col 42}{space 1}    1.20{col 51}{space 3}0.231{col 59}{space 4}-.0212206{col 72}{space 3} .0877773
{txt}{space 8}1.biweek2 {c |}{col 19}{res}{space 2} -.000181{col 31}{space 2} .0007814{col 42}{space 1}   -0.23{col 51}{space 3}0.817{col 59}{space 4}-.0017124{col 72}{space 3} .0013505
{txt}{space 8}1.biweek3 {c |}{col 19}{res}{space 2}-.0005154{col 31}{space 2} .0007309{col 42}{space 1}   -0.71{col 51}{space 3}0.481{col 59}{space 4}-.0019481{col 72}{space 3} .0009172
{txt}{space 8}1.biweek4 {c |}{col 19}{res}{space 2}-.0007837{col 31}{space 2} .0007199{col 42}{space 1}   -1.09{col 51}{space 3}0.276{col 59}{space 4}-.0021948{col 72}{space 3} .0006273
{txt}{space 8}1.biweek5 {c |}{col 19}{res}{space 2}-.0013634{col 31}{space 2} .0006558{col 42}{space 1}   -2.08{col 51}{space 3}0.038{col 59}{space 4}-.0026488{col 72}{space 3}-.0000781
{txt}{space 8}1.biweek6 {c |}{col 19}{res}{space 2} .0014999{col 31}{space 2} .0009331{col 42}{space 1}    1.61{col 51}{space 3}0.108{col 59}{space 4}-.0003289{col 72}{space 3} .0033288
{txt}{space 8}1.biweek7 {c |}{col 19}{res}{space 2} -.001242{col 31}{space 2} .0006804{col 42}{space 1}   -1.83{col 51}{space 3}0.068{col 59}{space 4}-.0025755{col 72}{space 3} .0000915
{txt}{space 8}1.biweek8 {c |}{col 19}{res}{space 2} -.000394{col 31}{space 2} .0007662{col 42}{space 1}   -0.51{col 51}{space 3}0.607{col 59}{space 4}-.0018957{col 72}{space 3} .0011077
{txt}{space 8}1.biweek9 {c |}{col 19}{res}{space 2}-.0006016{col 31}{space 2} .0007375{col 42}{space 1}   -0.82{col 51}{space 3}0.415{col 59}{space 4}-.0020471{col 72}{space 3} .0008439
{txt}{space 7}1.biweek10 {c |}{col 19}{res}{space 2}-.0005427{col 31}{space 2} .0007463{col 42}{space 1}   -0.73{col 51}{space 3}0.467{col 59}{space 4}-.0020054{col 72}{space 3} .0009199
{txt}{space 7}1.biweek11 {c |}{col 19}{res}{space 2}-.0008972{col 31}{space 2} .0007607{col 42}{space 1}   -1.18{col 51}{space 3}0.238{col 59}{space 4}-.0023881{col 72}{space 3} .0005937
{txt}{space 7}1.biweek12 {c |}{col 19}{res}{space 2}-.0017786{col 31}{space 2} .0006241{col 42}{space 1}   -2.85{col 51}{space 3}0.004{col 59}{space 4}-.0030019{col 72}{space 3}-.0005554
{txt}{space 7}1.biweek13 {c |}{col 19}{res}{space 2}-.0015103{col 31}{space 2} .0006527{col 42}{space 1}   -2.31{col 51}{space 3}0.021{col 59}{space 4}-.0027896{col 72}{space 3} -.000231
{txt}{space 7}1.biweek14 {c |}{col 19}{res}{space 2}-.0016748{col 31}{space 2} .0006501{col 42}{space 1}   -2.58{col 51}{space 3}0.010{col 59}{space 4} -.002949{col 72}{space 3}-.0004006
{txt}{space 7}1.biweek15 {c |}{col 19}{res}{space 2}-.0010146{col 31}{space 2} .0008477{col 42}{space 1}   -1.20{col 51}{space 3}0.231{col 59}{space 4}-.0026761{col 72}{space 3} .0006469
{txt}{space 7}lnpop_1970 {c |}{col 19}{res}{space 2} .0029651{col 31}{space 2} .0002879{col 42}{space 1}   10.30{col 51}{space 3}0.000{col 59}{space 4} .0024009{col 72}{space 3} .0035293
{txt}{space 5}vote_frejuli {c |}{col 19}{res}{space 2}-8.04e-06{col 31}{space 2}  .000017{col 42}{space 1}   -0.47{col 51}{space 3}0.635{col 59}{space 4}-.0000413{col 72}{space 3} .0000252
{txt}{space 5}literacy_avg {c |}{col 19}{res}{space 2}-.0213509{col 31}{space 2} .0018237{col 42}{space 1}  -11.71{col 51}{space 3}0.000{col 59}{space 4}-.0249252{col 72}{space 3}-.0177766
{txt}{space 5}lnrebact1974 {c |}{col 19}{res}{space 2}-.0013549{col 31}{space 2} .0001502{col 42}{space 1}   -9.02{col 51}{space 3}0.000{col 59}{space 4}-.0016492{col 72}{space 3}-.0010606
{txt}lnrepression70_77 {c |}{col 19}{res}{space 2} .0024656{col 31}{space 2} .0002592{col 42}{space 1}    9.51{col 51}{space 3}0.000{col 59}{space 4} .0019575{col 72}{space 3} .0029736
{txt}{space 10}1.zone2 {c |}{col 19}{res}{space 2}-.0134468{col 31}{space 2} .0011264{col 42}{space 1}  -11.94{col 51}{space 3}0.000{col 59}{space 4}-.0156545{col 72}{space 3}-.0112392
{txt}{space 10}1.zone3 {c |}{col 19}{res}{space 2}-.0106644{col 31}{space 2} .0009297{col 42}{space 1}  -11.47{col 51}{space 3}0.000{col 59}{space 4}-.0124867{col 72}{space 3}-.0088422
{txt}{space 10}1.zone4 {c |}{col 19}{res}{space 2}-.0049428{col 31}{space 2} .0029622{col 42}{space 1}   -1.67{col 51}{space 3}0.095{col 59}{space 4}-.0107486{col 72}{space 3}  .000863
{txt}{space 10}1.zone5 {c |}{col 19}{res}{space 2}-.0085703{col 31}{space 2} .0007348{col 42}{space 1}  -11.66{col 51}{space 3}0.000{col 59}{space 4}-.0100104{col 72}{space 3}-.0071302
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-.0019847{col 31}{space 2} .0017627{col 42}{space 1}   -1.13{col 51}{space 3}0.260{col 59}{space 4}-.0054395{col 72}{space 3} .0014701
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr                             
{txt}delimiter now cr
{com}.                         
.         *Calculating effects and exporting effects data 
.         #delimit ;                              
{txt}delimiter now ;
{com}.         margins, 
>                          at((asobserved) _all biweek2=0 biweek3=0 biweek4=0 biweek5=0 biweek6=0 biweek7=0 biweek8=0 biweek9=0 biweek10=0 biweek11=0 biweek12=0 biweek13=0 biweek14=0 biweek15=0) 
>                          at((asobserved) _all biweek2=1 biweek3=0 biweek4=0 biweek5=0 biweek6=0 biweek7=0 biweek8=0 biweek9=0 biweek10=0 biweek11=0 biweek12=0 biweek13=0 biweek14=0 biweek15=0)                 
>                          at((asobserved) _all biweek2=0 biweek3=1 biweek4=0 biweek5=0 biweek6=0 biweek7=0 biweek8=0 biweek9=0 biweek10=0 biweek11=0 biweek12=0 biweek13=0 biweek14=0 biweek15=0)
>                          at((asobserved) _all biweek2=0 biweek3=0 biweek4=1 biweek5=0 biweek6=0 biweek7=0 biweek8=0 biweek9=0 biweek10=0 biweek11=0 biweek12=0 biweek13=0 biweek14=0 biweek15=0)                         
>                          at((asobserved) _all biweek2=0 biweek3=0 biweek4=0 biweek5=1 biweek6=0 biweek7=0 biweek8=0 biweek9=0 biweek10=0 biweek11=0 biweek12=0 biweek13=0 biweek14=0 biweek15=0)                         
>                          at((asobserved) _all biweek2=0 biweek3=0 biweek4=0 biweek5=0 biweek6=1 biweek7=0 biweek8=0 biweek9=0 biweek10=0 biweek11=0 biweek12=0 biweek13=0 biweek14=0 biweek15=0)                         
>                          at((asobserved) _all biweek2=0 biweek3=0 biweek4=0 biweek5=0 biweek6=0 biweek7=1 biweek8=0 biweek9=0 biweek10=0 biweek11=0 biweek12=0 biweek13=0 biweek14=0 biweek15=0)                         
>                          at((asobserved) _all biweek2=0 biweek3=0 biweek4=0 biweek5=0 biweek6=0 biweek7=0 biweek8=1 biweek9=0 biweek10=0 biweek11=0 biweek12=0 biweek13=0 biweek14=0 biweek15=0) 
>                          at((asobserved) _all biweek2=0 biweek3=0 biweek4=0 biweek5=0 biweek6=0 biweek7=0 biweek8=0 biweek9=1 biweek10=0 biweek11=0 biweek12=0 biweek13=0 biweek14=0 biweek15=0)                         
>                          at((asobserved) _all biweek2=0 biweek3=0 biweek4=0 biweek5=0 biweek6=0 biweek7=0 biweek8=0 biweek9=0 biweek10=1 biweek11=0 biweek12=0 biweek13=0 biweek14=0 biweek15=0) 
>                          at((asobserved) _all biweek2=0 biweek3=0 biweek4=0 biweek5=0 biweek6=0 biweek7=0 biweek8=0 biweek9=0 biweek10=0 biweek11=1 biweek12=0 biweek13=0 biweek14=0 biweek15=0)                         
>                          at((asobserved) _all biweek2=0 biweek3=0 biweek4=0 biweek5=0 biweek6=0 biweek7=0 biweek8=0 biweek9=0 biweek10=0 biweek11=0 biweek12=1 biweek13=0 biweek14=0 biweek15=0)
>                          at((asobserved) _all biweek2=0 biweek3=0 biweek4=0 biweek5=0 biweek6=0 biweek7=0 biweek8=0 biweek9=0 biweek10=0 biweek11=0 biweek12=0 biweek13=1 biweek14=0 biweek15=0)
>                          at((asobserved) _all biweek2=0 biweek3=0 biweek4=0 biweek5=0 biweek6=0 biweek7=0 biweek8=0 biweek9=0 biweek10=0 biweek11=0 biweek12=0 biweek13=0 biweek14=1 biweek15=0)                         
>                          at((asobserved) _all biweek2=0 biweek3=0 biweek4=0 biweek5=0 biweek6=0 biweek7=0 biweek8=0 biweek9=0 biweek10=0 biweek11=0 biweek12=0 biweek13=0 biweek14=0 biweek15=1) 
>                          over(hostcity)          
>                          expression((exp(predict(xb)))-1)       
>                          level(95) 
>                          post;
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}    98,328
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:(exp(predict(xb)))-1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:over}:{space 1}{res:hostcity}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:biweek2}{space 9}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:biweek3}{space 9}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:biweek4}{space 9}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:biweek5}{space 9}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:biweek6}{space 9}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:biweek7}{space 9}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:biweek8}{space 9}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:biweek9}{space 9}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:biweek10}{space 8}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:biweek11}{space 8}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:biweek12}{space 8}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:biweek13}{space 8}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:biweek14}{space 8}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:biweek15}{space 8}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:biweek2}{space 9}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:biweek3}{space 9}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:biweek4}{space 9}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:biweek5}{space 9}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:biweek6}{space 9}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:biweek7}{space 9}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:biweek8}{space 9}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:biweek9}{space 9}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:biweek10}{space 8}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:biweek11}{space 8}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:biweek12}{space 8}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:biweek13}{space 8}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:biweek14}{space 8}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:biweek15}{space 8}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:biweek2}{space 9}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:biweek3}{space 9}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:biweek4}{space 9}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:biweek5}{space 9}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:biweek6}{space 9}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:biweek7}{space 9}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:biweek8}{space 9}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:biweek9}{space 9}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:biweek7}{space 9}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:biweek8}{space 9}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:biweek9}{space 9}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:biweek10}{space 8}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:biweek11}{space 8}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:biweek12}{space 8}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:biweek13}{space 8}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:biweek14}{space 8}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:biweek15}{space 8}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:biweek2}{space 9}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:biweek3}{space 9}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:biweek4}{space 9}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:biweek5}{space 9}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:biweek6}{space 9}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:biweek7}{space 9}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:biweek8}{space 9}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:biweek9}{space 9}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:biweek10}{space 8}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:biweek11}{space 8}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:biweek12}{space 8}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:biweek13}{space 8}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:biweek14}{space 8}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:biweek15}{space 8}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
_at#hostcity {c |}
{space 7} 1 0  {c |}{col 14}{res}{space 2} .0022144{col 26}{space 2} .0005876{col 37}{space 1}    3.77{col 46}{space 3}0.000{col 54}{space 4} .0010627{col 67}{space 3}  .003366
{txt}{space 7} 1 1  {c |}{col 14}{res}{space 2} .0569015{col 26}{space 2} .0294078{col 37}{space 1}    1.93{col 46}{space 3}0.053{col 54}{space 4}-.0007368{col 67}{space 3} .1145397
{txt}{space 7} 2 0  {c |}{col 14}{res}{space 2}  .002033{col 26}{space 2} .0005188{col 37}{space 1}    3.92{col 46}{space 3}0.000{col 54}{space 4} .0010163{col 67}{space 3} .0030497
{txt}{space 7} 2 1  {c |}{col 14}{res}{space 2}  .095094{col 26}{space 2} .0336007{col 37}{space 1}    2.83{col 46}{space 3}0.005{col 54}{space 4} .0292378{col 67}{space 3} .1609501
{txt}{space 7} 3 0  {c |}{col 14}{res}{space 2} .0016979{col 26}{space 2} .0004384{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0008387{col 67}{space 3} .0025571
{txt}{space 7} 3 1  {c |}{col 14}{res}{space 2} .0861297{col 26}{space 2} .0355042{col 37}{space 1}    2.43{col 46}{space 3}0.015{col 54}{space 4} .0165428{col 67}{space 3} .1557167
{txt}{space 7} 4 0  {c |}{col 14}{res}{space 2} .0014292{col 26}{space 2} .0004195{col 37}{space 1}    3.41{col 46}{space 3}0.001{col 54}{space 4} .0006069{col 67}{space 3} .0022515
{txt}{space 7} 4 1  {c |}{col 14}{res}{space 2} .0985904{col 26}{space 2} .0388715{col 37}{space 1}    2.54{col 46}{space 3}0.011{col 54}{space 4} .0224038{col 67}{space 3} .1747771
{txt}{space 7} 5 0  {c |}{col 14}{res}{space 2} .0008488{col 26}{space 2} .0002954{col 37}{space 1}    2.87{col 46}{space 3}0.004{col 54}{space 4} .0002699{col 67}{space 3} .0014277
{txt}{space 7} 5 1  {c |}{col 14}{res}{space 2} .2289238{col 26}{space 2} .0666985{col 37}{space 1}    3.43{col 46}{space 3}0.001{col 54}{space 4} .0981972{col 67}{space 3} .3596504
{txt}{space 7} 6 0  {c |}{col 14}{res}{space 2} .0037187{col 26}{space 2} .0007297{col 37}{space 1}    5.10{col 46}{space 3}0.000{col 54}{space 4} .0022885{col 67}{space 3} .0051489
{txt}{space 7} 6 1  {c |}{col 14}{res}{space 2} .2100018{col 26}{space 2} .0627212{col 37}{space 1}    3.35{col 46}{space 3}0.001{col 54}{space 4} .0870705{col 67}{space 3}  .332933
{txt}{space 7} 7 0  {c |}{col 14}{res}{space 2} .0009704{col 26}{space 2} .0003467{col 37}{space 1}    2.80{col 46}{space 3}0.005{col 54}{space 4} .0002909{col 67}{space 3} .0016499
{txt}{space 7} 7 1  {c |}{col 14}{res}{space 2}  .145958{col 26}{space 2} .0414914{col 37}{space 1}    3.52{col 46}{space 3}0.000{col 54}{space 4} .0646364{col 67}{space 3} .2272795
{txt}{space 7} 8 0  {c |}{col 14}{res}{space 2} .0018196{col 26}{space 2} .0004953{col 37}{space 1}    3.67{col 46}{space 3}0.000{col 54}{space 4} .0008489{col 67}{space 3} .0027903
{txt}{space 7} 8 1  {c |}{col 14}{res}{space 2} .0099903{col 26}{space 2} .0097621{col 37}{space 1}    1.02{col 46}{space 3}0.306{col 54}{space 4}-.0091431{col 67}{space 3} .0291237
{txt}{space 7} 9 0  {c |}{col 14}{res}{space 2} .0016116{col 26}{space 2} .0004494{col 37}{space 1}    3.59{col 46}{space 3}0.000{col 54}{space 4} .0007309{col 67}{space 3} .0024924
{txt}{space 7} 9 1  {c |}{col 14}{res}{space 2} .2118244{col 26}{space 2} .0651267{col 37}{space 1}    3.25{col 46}{space 3}0.001{col 54}{space 4} .0841783{col 67}{space 3} .3394704
{txt}{space 7}10 0  {c |}{col 14}{res}{space 2} .0016706{col 26}{space 2} .0004634{col 37}{space 1}    3.60{col 46}{space 3}0.000{col 54}{space 4} .0007623{col 67}{space 3} .0025788
{txt}{space 7}10 1  {c |}{col 14}{res}{space 2} .1880612{col 26}{space 2} .0594711{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4}    .0715{col 67}{space 3} .3046225
{txt}{space 7}11 0  {c |}{col 14}{res}{space 2} .0013156{col 26}{space 2} .0004865{col 37}{space 1}    2.70{col 46}{space 3}0.007{col 54}{space 4} .0003621{col 67}{space 3}  .002269
{txt}{space 7}11 1  {c |}{col 14}{res}{space 2} .1658385{col 26}{space 2} .0524678{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0630035{col 67}{space 3} .2686734
{txt}{space 7}12 0  {c |}{col 14}{res}{space 2} .0004334{col 26}{space 2} .0002156{col 37}{space 1}    2.01{col 46}{space 3}0.044{col 54}{space 4} .0000109{col 67}{space 3} .0008559
{txt}{space 7}12 1  {c |}{col 14}{res}{space 2} .1031146{col 26}{space 2} .0409833{col 37}{space 1}    2.52{col 46}{space 3}0.012{col 54}{space 4} .0227889{col 67}{space 3} .1834403
{txt}{space 7}13 0  {c |}{col 14}{res}{space 2} .0007018{col 26}{space 2} .0002883{col 37}{space 1}    2.43{col 46}{space 3}0.015{col 54}{space 4} .0001367{col 67}{space 3}  .001267
{txt}{space 7}13 1  {c |}{col 14}{res}{space 2} .0798567{col 26}{space 2} .0360205{col 37}{space 1}    2.22{col 46}{space 3}0.027{col 54}{space 4} .0092579{col 67}{space 3} .1504555
{txt}{space 7}14 0  {c |}{col 14}{res}{space 2} .0005372{col 26}{space 2} .0002822{col 37}{space 1}    1.90{col 46}{space 3}0.057{col 54}{space 4} -.000016{col 67}{space 3} .0010904
{txt}{space 7}14 1  {c |}{col 14}{res}{space 2} .0404435{col 26}{space 2} .0195639{col 37}{space 1}    2.07{col 46}{space 3}0.039{col 54}{space 4}  .002099{col 67}{space 3} .0787879
{txt}{space 7}15 0  {c |}{col 14}{res}{space 2}  .001198{col 26}{space 2} .0006138{col 37}{space 1}    1.95{col 46}{space 3}0.051{col 54}{space 4}-5.10e-06{col 67}{space 3} .0024011
{txt}{space 7}15 1  {c |}{col 14}{res}{space 2} .0718149{col 26}{space 2} .0347664{col 37}{space 1}    2.07{col 46}{space 3}0.039{col 54}{space 4} .0036739{col 67}{space 3} .1399558
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         parmest, saving("$path\tableSI61_model3_effects.dta", replace) 
>                          format(estimate min95 max95)
>                          ;
{txt}file C:\Users\scharpf\Dropbox\ArgentinaWorldCup\replication\replicationfiles\tableSI61_model3_effects.dta saved

{com}.                 #delimit cr             
{txt}delimiter now cr
{com}.         
.         
.         *2) Preparing data for plotting 
.         
.         *Preserving data
.         preserve
{txt}
{com}.         
.         *Loading effects data
.         use "$path\tableSI61_model3_effects.dta", clear         
{txt}
{com}.                         
.         *Extracting biweekly information                
.         gen week=regexs(0) if regexm(parm, "^[0-9]+")           
{txt}
{com}.         destring week, replace          
{txt}week: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         
.         *Identifying host cities
.         gen hostcity=regexs(3) if regexm(parm, "(^[0-9]+)(._at#)([0-9])")
{txt}
{com}.         replace hostcity="_"+hostcity
{txt}variable {bf}hostcity{sf} was {bf}{res}str1{sf}{txt} now {bf}{res}str2{sf}
{txt}(30 real changes made)

{com}.         
.         *Keeping relevant variables
.         keep estimate min* max* week hostcity
{txt}
{com}.         
.         *Reshaping data for plotting
.         reshape wide estimate min95 max95, i(week) j(hostcity) string   
{txt}(note: j = _0 _1)

Data{col 36}long{col 43}->{col 48}wide
{hline 77}
Number of obs.                 {res}      30   {txt}->{res}      15
{txt}Number of variables            {res}       5   {txt}->{res}       7
{txt}j variable (2 values)          {res}hostcity   {txt}->   (dropped)
xij variables:
                               {res}estimate   {txt}->   {res}estimate_0 estimate_1
                                  min95   {txt}->   {res}min95_0 min95_1
                                  max95   {txt}->   {res}max95_0 max95_1
{txt}{hline 77}

{com}.         
.         
.         *3) Plotting Figure 10
.         
.         #delimit ;              
{txt}delimiter now ;
{com}.         twoway (rspike min95_0 max95_0 week,
>                         lcolor(gs11)
>                         )       
>                         (connected estimate_0 week,
>                         mcolor(gs11) lcolor(gs11) lpattern(shortdash)
>                         )
>                         (rspike min95_1 max95_1 week,
>                         lcolor(black) 
>                         )                       
>                         (connected estimate_1 week,
>                         mcolor(black) lcolor(black) lpattern(shortdash)
>                         )                       
>                                         ,
>                                         ysize(1)
>                                         xsize(1.4) 
>                                         yscale(range( ) noextend titlegap(*+5))
>                                         xscale(range(.5 15.5) noextend titlegap(*+6)) 
>                                         ylabel(, 
>                                                         nogrid labsize(*.9) angle(0)
>                                         )
>                                         xlabel(1 "-14" 2 "-12" 3 "-10" 4 "-8" 5 "-6" 6 "-4" 7 "-2" 8 "0" 9 "+2" 10 "+4" 11 "+6" 12 "+8" 13 "+10" 14 "+12" 15 "+14",
>                                                         labsize(*.9)
>                                         )
>                                         ytitle("Predicted number of daily repression events")
>                                         xtitle("Week")
>                                         legend(
>                                                 cols(1)
>                                                 order(4 "Host cities" 2 "Other cities") 
>                                                 size(*1) keygap(*0.5) symxsize(*0.5) symysize(*0.5)
>                                         position(2) ring(0) bmargin(0 3 0 0)
>                                         region(lcolor(white))
>                                         )                                                       
>                                         graphregion(color(white) lcolor(white) lalign(outside))                         
>                                         ;
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.         graph export "$path\figure_10.pdf", as(pdf) replace             
{txt}(file C:\Users\scharpf\Dropbox\ArgentinaWorldCup\replication\replicationfiles\figure_10.pdf written in PDF format)

{com}.         
.         *Restoring data
.         restore 
{txt}
{com}.         
.         
.         
.         ****************************************************************************
.         *Figure SI.4.1: Substantive effects using clustered standard errors
.         ****************************************************************************            
.         
.         *1) Calculating substantive effects
.         
.         *Estimating Model 3, Table SI.4.2.
.         #delimit ;
{txt}delimiter now ;
{com}.         nbreg repression 
>                   i.hostcity#c.time 
>                   i.hostcity#c.time#c.time 
>                   i.hostcity 
>                   c.time 
>                   c.time#c.time 
>                   c.lnpop_1970 
>                   c.vote_frejuli 
>                   c.literacy_avg 
>                   c.lnrebact1974 
>                   c.lnrepression70_77 
>                   i.zone2 i.zone3 i.zone4 i.zone5
>                   , 
>                   cluster(id)           
>         ;

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-10251.041}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-9430.9582}  (not concave)
Iteration 2:{space 3}log pseudolikelihood = {res:-9336.6486}  (not concave)
Iteration 3:{space 3}log pseudolikelihood = {res:-9039.9325}  
Iteration 4:{space 3}log pseudolikelihood = {res: -3368.985}  (backed up)
Iteration 5:{space 3}log pseudolikelihood = {res:-3277.9635}  (backed up)
Iteration 6:{space 3}log pseudolikelihood = {res:-2430.1458}  (backed up)
Iteration 7:{space 3}log pseudolikelihood = {res:-1658.9715}  
Iteration 8:{space 3}log pseudolikelihood = {res:-1262.0001}  
Iteration 9:{space 3}log pseudolikelihood = {res:-1100.8876}  
Iteration 10:{space 2}log pseudolikelihood = {res:-1097.0356}  
Iteration 11:{space 2}log pseudolikelihood = {res:-1097.0315}  
Iteration 12:{space 2}log pseudolikelihood = {res:-1097.0315}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -1829.657}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1488.4935}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1487.9062}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1487.9059}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1487.9059}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1379.0592}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res: -1235.671}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1033.9711}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1015.7168}  
Iteration 4:{space 3}log pseudolikelihood = {res: -1011.739}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1011.6981}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1011.6981}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}    56,394
{txt}{col 49}Wald chi2({res}14{txt}){col 67}= {res}    663.09
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1011.6981{txt}{col 49}Pseudo R2{col 67}= {res}    0.3201

{txt}{ralign 88:(Std. Err. adjusted for {res:482} clusters in id)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}            repression{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      z{col 56}   P>|z|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}hostcity#c.time {c |}
{space 20}1  {c |}{col 24}{res}{space 2} 8.301135{col 36}{space 2} 2.481886{col 47}{space 1}    3.34{col 56}{space 3}0.001{col 64}{space 4} 3.436729{col 77}{space 3} 13.16554
{txt}{space 22} {c |}
hostcity#c.time#c.time {c |}
{space 20}1  {c |}{col 24}{res}{space 2}-6.844269{col 36}{space 2} 2.133962{col 47}{space 1}   -3.21{col 56}{space 3}0.001{col 64}{space 4}-11.02676{col 77}{space 3}-2.661781
{txt}{space 22} {c |}
{space 12}1.hostcity {c |}{col 24}{res}{space 2}-1.434262{col 36}{space 2} .6476328{col 47}{space 1}   -2.21{col 56}{space 3}0.027{col 64}{space 4}-2.703599{col 77}{space 3} -.164925
{txt}{space 18}time {c |}{col 24}{res}{space 2}-1.928213{col 36}{space 2} 1.589589{col 47}{space 1}   -1.21{col 56}{space 3}0.225{col 64}{space 4} -5.04375{col 77}{space 3} 1.187325
{txt}{space 22} {c |}
{space 9}c.time#c.time {c |}{col 24}{res}{space 2} 1.372504{col 36}{space 2} 1.215168{col 47}{space 1}    1.13{col 56}{space 3}0.259{col 64}{space 4}-1.009182{col 77}{space 3} 3.754189
{txt}{space 22} {c |}
{space 12}lnpop_1970 {c |}{col 24}{res}{space 2} .3694047{col 36}{space 2} .3911046{col 47}{space 1}    0.94{col 56}{space 3}0.345{col 64}{space 4}-.3971463{col 77}{space 3} 1.135956
{txt}{space 10}vote_frejuli {c |}{col 24}{res}{space 2} .0376127{col 36}{space 2} .0162614{col 47}{space 1}    2.31{col 56}{space 3}0.021{col 64}{space 4} .0057409{col 77}{space 3} .0694845
{txt}{space 10}literacy_avg {c |}{col 24}{res}{space 2} 1.154586{col 36}{space 2} 4.202322{col 47}{space 1}    0.27{col 56}{space 3}0.784{col 64}{space 4}-7.081815{col 77}{space 3} 9.390987
{txt}{space 10}lnrebact1974 {c |}{col 24}{res}{space 2}-.0679223{col 36}{space 2} .0865031{col 47}{space 1}   -0.79{col 56}{space 3}0.432{col 64}{space 4}-.2374653{col 77}{space 3} .1016207
{txt}{space 5}lnrepression70_77 {c |}{col 24}{res}{space 2} .7067854{col 36}{space 2} .3025701{col 47}{space 1}    2.34{col 56}{space 3}0.019{col 64}{space 4} .1137589{col 77}{space 3} 1.299812
{txt}{space 15}1.zone2 {c |}{col 24}{res}{space 2} -2.09976{col 36}{space 2} .3935913{col 47}{space 1}   -5.33{col 56}{space 3}0.000{col 64}{space 4}-2.871185{col 77}{space 3}-1.328335
{txt}{space 15}1.zone3 {c |}{col 24}{res}{space 2}-.9578653{col 36}{space 2} .4341722{col 47}{space 1}   -2.21{col 56}{space 3}0.027{col 64}{space 4}-1.808827{col 77}{space 3}-.1069034
{txt}{space 15}1.zone4 {c |}{col 24}{res}{space 2}-.3881078{col 36}{space 2} .2294959{col 47}{space 1}   -1.69{col 56}{space 3}0.091{col 64}{space 4}-.8379115{col 77}{space 3} .0616958
{txt}{space 15}1.zone5 {c |}{col 24}{res}{space 2}-.9323005{col 36}{space 2} .6986461{col 47}{space 1}   -1.33{col 56}{space 3}0.182{col 64}{space 4}-2.301622{col 77}{space 3} .4370208
{txt}{space 17}_cons {c |}{col 24}{res}{space 2}-13.41226{col 36}{space 2} 4.979395{col 47}{space 1}   -2.69{col 56}{space 3}0.007{col 64}{space 4} -23.1717{col 77}{space 3}-3.652827
{txt}{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}/lnalpha {c |}{col 24}{res}{space 2} 1.803443{col 36}{space 2} .8392006{col 64}{space 4} .1586404{col 77}{space 3} 3.448246
{txt}{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 alpha {c |}{col 24}{res}{space 2} 6.070515{col 36}{space 2}  5.09438{col 64}{space 4} 1.171916{col 77}{space 3}  31.4452
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         #delimit cr 
{txt}delimiter now cr
{com}.  
.         *Calculating effects and exporting effects data
.         #delimit ;      
{txt}delimiter now ;
{com}.         margins, at((asobserved) _all time = (0.01(0.01)1.17)) over(hostcity)                    
>                          level(95) 
>                          post;
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}    56,394
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Predicted number of events, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:over}:{space 1}{res:hostcity}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.01}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.01}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.02}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.02}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.03}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.03}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.04}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.04}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.05}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.05}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.06}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.06}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.07}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.07}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.08}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.08}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.09}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.09}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.11}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.11}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:12._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.12}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.12}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:13._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.13}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.13}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:14._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.14}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.14}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:15._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.15}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.15}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:16._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.16}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.16}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:17._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.17}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.17}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:18._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.18}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.18}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:19._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.19}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.19}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:20._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.2}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:21._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.21}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.21}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:22._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.22}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.22}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:23._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.23}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:24._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.24}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.24}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:25._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.25}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.25}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:26._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.26}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.26}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:27._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.27}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.27}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:28._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.28}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.28}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:29._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.29}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.29}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:30._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.3}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:31._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.31}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.31}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:32._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.32}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.32}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:33._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.33}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.33}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:34._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.34}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.34}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:35._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.35}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.35}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:36._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.36}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.36}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:37._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.37}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.37}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:38._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.38}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.38}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:39._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.39}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.39}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:40._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.4}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:41._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.41}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.41}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:42._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.42}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.42}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:43._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.43}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.43}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:44._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.44}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.44}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:45._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.45}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.45}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:46._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.46}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.46}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:47._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.47}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.47}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:48._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.48}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.48}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:49._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.49}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.49}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:50._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.5}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:51._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.51}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.51}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:52._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.52}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.52}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:53._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.53}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.53}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:54._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.54}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.54}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:55._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.55}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.55}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:56._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.56}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.56}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:57._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.57}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.57}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:58._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.58}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.58}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:59._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.59}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.59}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:60._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.6}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:61._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.61}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.61}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:62._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.62}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.62}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:63._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.63}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.63}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:64._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.64}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.64}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:65._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.65}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.65}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:66._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.66}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.66}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:67._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.67}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:68._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.68}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.68}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:69._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.69}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.69}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:70._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.7}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:71._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.71}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.71}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:72._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.72}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.72}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:73._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.73}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.73}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:74._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.74}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.74}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:75._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.75}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.75}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:76._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.76}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.76}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:77._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.77}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.77}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:78._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.78}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.78}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:79._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.79}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.79}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:80._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.8}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:81._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.81}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.81}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:82._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.82}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.82}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:83._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.83}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.83}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:84._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.84}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:85._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.85}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.85}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:86._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.86}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.86}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:87._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.87}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.87}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:88._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.88}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.88}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:89._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.89}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.89}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:90._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.9}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:91._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.91}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.91}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:92._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.92}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.92}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:93._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.93}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.93}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:94._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.94}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.94}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:95._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.95}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.95}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:96._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.96}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.96}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:97._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.97}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.97}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:98._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.98}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.98}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:99._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.99}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.99}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:100._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:101._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.01}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.01}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:102._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.02}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.02}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:103._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.03}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.03}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:104._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.04}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.04}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:105._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.05}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.05}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:106._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.06}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.06}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:107._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.07}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.07}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:108._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.08}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.08}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:109._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.09}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.09}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:110._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}1.1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}1.1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:111._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.11}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.11}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:112._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.12}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.12}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:113._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.13}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.13}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:114._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.14}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.14}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:115._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.15}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.15}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:116._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.16}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.16}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:117._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.17}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.17}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
_at#hostcity {c |}
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{txt}{space 6}  2 0  {c |}{col 14}{res}{space 2} .0048545{col 26}{space 2} .0021303{col 37}{space 1}    2.28{col 46}{space 3}0.023{col 54}{space 4} .0006792{col 67}{space 3} .0090297
{txt}{space 6}  2 1  {c |}{col 14}{res}{space 2} .0621175{col 26}{space 2}  .024347{col 37}{space 1}    2.55{col 46}{space 3}0.011{col 54}{space 4} .0143982{col 67}{space 3} .1098368
{txt}{space 6}  3 0  {c |}{col 14}{res}{space 2}  .004765{col 26}{space 2} .0020276{col 37}{space 1}    2.35{col 46}{space 3}0.019{col 54}{space 4} .0007909{col 67}{space 3} .0087391
{txt}{space 6}  3 1  {c |}{col 14}{res}{space 2} .0660242{col 26}{space 2} .0249336{col 37}{space 1}    2.65{col 46}{space 3}0.008{col 54}{space 4} .0171552{col 67}{space 3} .1148931
{txt}{space 6}  4 0  {c |}{col 14}{res}{space 2} .0046785{col 26}{space 2} .0019301{col 37}{space 1}    2.42{col 46}{space 3}0.015{col 54}{space 4} .0008957{col 67}{space 3} .0084614
{txt}{space 6}  4 1  {c |}{col 14}{res}{space 2} .0700998{col 26}{space 2} .0255153{col 37}{space 1}    2.75{col 46}{space 3}0.006{col 54}{space 4} .0200907{col 67}{space 3} .1201089
{txt}{space 6}  5 0  {c |}{col 14}{res}{space 2} .0045949{col 26}{space 2} .0018373{col 37}{space 1}    2.50{col 46}{space 3}0.012{col 54}{space 4} .0009938{col 67}{space 3} .0081959
{txt}{space 6}  5 1  {c |}{col 14}{res}{space 2} .0743456{col 26}{space 2}  .026095{col 37}{space 1}    2.85{col 46}{space 3}0.004{col 54}{space 4} .0232004{col 67}{space 3} .1254908
{txt}{space 6}  6 0  {c |}{col 14}{res}{space 2} .0045139{col 26}{space 2} .0017492{col 37}{space 1}    2.58{col 46}{space 3}0.010{col 54}{space 4} .0010856{col 67}{space 3} .0079422
{txt}{space 6}  6 1  {c |}{col 14}{res}{space 2} .0787623{col 26}{space 2} .0266762{col 37}{space 1}    2.95{col 46}{space 3}0.003{col 54}{space 4}  .026478{col 67}{space 3} .1310467
{txt}{space 6}  7 0  {c |}{col 14}{res}{space 2} .0044356{col 26}{space 2} .0016655{col 37}{space 1}    2.66{col 46}{space 3}0.008{col 54}{space 4} .0011713{col 67}{space 3} .0076999
{txt}{space 6}  7 1  {c |}{col 14}{res}{space 2} .0833502{col 26}{space 2} .0272634{col 37}{space 1}    3.06{col 46}{space 3}0.002{col 54}{space 4} .0299149{col 67}{space 3} .1367854
{txt}{space 6}  8 0  {c |}{col 14}{res}{space 2} .0043599{col 26}{space 2}  .001586{col 37}{space 1}    2.75{col 46}{space 3}0.006{col 54}{space 4} .0012513{col 67}{space 3} .0074684
{txt}{space 6}  8 1  {c |}{col 14}{res}{space 2} .0881088{col 26}{space 2} .0278618{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0335006{col 67}{space 3}  .142717
{txt}{space 6}  9 0  {c |}{col 14}{res}{space 2} .0042866{col 26}{space 2} .0015106{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4} .0013258{col 67}{space 3} .0072474
{txt}{space 6}  9 1  {c |}{col 14}{res}{space 2} .0930372{col 26}{space 2} .0284776{col 37}{space 1}    3.27{col 46}{space 3}0.001{col 54}{space 4} .0372222{col 67}{space 3} .1488522
{txt}{space 6} 10 0  {c |}{col 14}{res}{space 2} .0042157{col 26}{space 2} .0014391{col 37}{space 1}    2.93{col 46}{space 3}0.003{col 54}{space 4} .0013951{col 67}{space 3} .0070364
{txt}{space 6} 10 1  {c |}{col 14}{res}{space 2} .0981339{col 26}{space 2} .0291174{col 37}{space 1}    3.37{col 46}{space 3}0.001{col 54}{space 4} .0410648{col 67}{space 3} .1552029
{txt}{space 6} 11 0  {c |}{col 14}{res}{space 2} .0041471{col 26}{space 2} .0013714{col 37}{space 1}    3.02{col 46}{space 3}0.002{col 54}{space 4} .0014593{col 67}{space 3}  .006835
{txt}{space 6} 11 1  {c |}{col 14}{res}{space 2} .1033965{col 26}{space 2} .0297888{col 37}{space 1}    3.47{col 46}{space 3}0.001{col 54}{space 4} .0450115{col 67}{space 3} .1617814
{txt}{space 6} 12 0  {c |}{col 14}{res}{space 2} .0040808{col 26}{space 2} .0013072{col 37}{space 1}    3.12{col 46}{space 3}0.002{col 54}{space 4} .0015187{col 67}{space 3} .0066429
{txt}{space 6} 12 1  {c |}{col 14}{res}{space 2} .1088222{col 26}{space 2} .0304998{col 37}{space 1}    3.57{col 46}{space 3}0.000{col 54}{space 4} .0490436{col 67}{space 3} .1686007
{txt}{space 6} 13 0  {c |}{col 14}{res}{space 2} .0040166{col 26}{space 2} .0012466{col 37}{space 1}    3.22{col 46}{space 3}0.001{col 54}{space 4} .0015734{col 67}{space 3} .0064598
{txt}{space 6} 13 1  {c |}{col 14}{res}{space 2} .1144073{col 26}{space 2} .0312589{col 37}{space 1}    3.66{col 46}{space 3}0.000{col 54}{space 4} .0531409{col 67}{space 3} .1756737
{txt}{space 6} 14 0  {c |}{col 14}{res}{space 2} .0039546{col 26}{space 2} .0011892{col 37}{space 1}    3.33{col 46}{space 3}0.001{col 54}{space 4} .0016238{col 67}{space 3} .0062853
{txt}{space 6} 14 1  {c |}{col 14}{res}{space 2} .1201475{col 26}{space 2} .0320748{col 37}{space 1}    3.75{col 46}{space 3}0.000{col 54}{space 4}  .057282{col 67}{space 3}  .183013
{txt}{space 6} 15 0  {c |}{col 14}{res}{space 2} .0038945{col 26}{space 2}  .001135{col 37}{space 1}    3.43{col 46}{space 3}0.001{col 54}{space 4} .0016699{col 67}{space 3} .0061191
{txt}{space 6} 15 1  {c |}{col 14}{res}{space 2} .1260378{col 26}{space 2} .0329561{col 37}{space 1}    3.82{col 46}{space 3}0.000{col 54}{space 4}  .061445{col 67}{space 3} .1906305
{txt}{space 6} 16 0  {c |}{col 14}{res}{space 2} .0038364{col 26}{space 2}  .001084{col 37}{space 1}    3.54{col 46}{space 3}0.000{col 54}{space 4} .0017119{col 67}{space 3} .0059609
{txt}{space 6} 16 1  {c |}{col 14}{res}{space 2} .1320721{col 26}{space 2} .0339111{col 37}{space 1}    3.89{col 46}{space 3}0.000{col 54}{space 4} .0656076{col 67}{space 3} .1985366
{txt}{space 6} 17 0  {c |}{col 14}{res}{space 2} .0037802{col 26}{space 2} .0010359{col 37}{space 1}    3.65{col 46}{space 3}0.000{col 54}{space 4}   .00175{col 67}{space 3} .0058105
{txt}{space 6} 17 1  {c |}{col 14}{res}{space 2} .1382441{col 26}{space 2} .0349476{col 37}{space 1}    3.96{col 46}{space 3}0.000{col 54}{space 4} .0697479{col 67}{space 3} .2067402
{txt}{space 6} 18 0  {c |}{col 14}{res}{space 2} .0037259{col 26}{space 2} .0009906{col 37}{space 1}    3.76{col 46}{space 3}0.000{col 54}{space 4} .0017843{col 67}{space 3} .0056675
{txt}{space 6} 18 1  {c |}{col 14}{res}{space 2} .1445461{col 26}{space 2} .0360728{col 37}{space 1}    4.01{col 46}{space 3}0.000{col 54}{space 4} .0738448{col 67}{space 3} .2152475
{txt}{space 6} 19 0  {c |}{col 14}{res}{space 2} .0036733{col 26}{space 2} .0009481{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0018151{col 67}{space 3} .0055316
{txt}{space 6} 19 1  {c |}{col 14}{res}{space 2} .1509702{col 26}{space 2} .0372925{col 37}{space 1}    4.05{col 46}{space 3}0.000{col 54}{space 4} .0778783{col 67}{space 3} .2240621
{txt}{space 6} 20 0  {c |}{col 14}{res}{space 2} .0036225{col 26}{space 2} .0009083{col 37}{space 1}    3.99{col 46}{space 3}0.000{col 54}{space 4} .0018424{col 67}{space 3} .0054027
{txt}{space 6} 20 1  {c |}{col 14}{res}{space 2} .1575073{col 26}{space 2} .0386115{col 37}{space 1}    4.08{col 46}{space 3}0.000{col 54}{space 4} .0818302{col 67}{space 3} .2331844
{txt}{space 6} 21 0  {c |}{col 14}{res}{space 2} .0035734{col 26}{space 2}  .000871{col 37}{space 1}    4.10{col 46}{space 3}0.000{col 54}{space 4} .0018663{col 67}{space 3} .0052805
{txt}{space 6} 21 1  {c |}{col 14}{res}{space 2} .1641477{col 26}{space 2} .0400331{col 37}{space 1}    4.10{col 46}{space 3}0.000{col 54}{space 4} .0856843{col 67}{space 3} .2426111
{txt}{space 6} 22 0  {c |}{col 14}{res}{space 2} .0035259{col 26}{space 2} .0008362{col 37}{space 1}    4.22{col 46}{space 3}0.000{col 54}{space 4} .0018871{col 67}{space 3} .0051647
{txt}{space 6} 22 1  {c |}{col 14}{res}{space 2}  .170881{col 26}{space 2} .0415592{col 37}{space 1}    4.11{col 46}{space 3}0.000{col 54}{space 4} .0894265{col 67}{space 3} .2523355
{txt}{space 6} 23 0  {c |}{col 14}{res}{space 2}   .00348{col 26}{space 2} .0008037{col 37}{space 1}    4.33{col 46}{space 3}0.000{col 54}{space 4} .0019048{col 67}{space 3} .0050552
{txt}{space 6} 23 1  {c |}{col 14}{res}{space 2} .1776959{col 26}{space 2} .0431899{col 37}{space 1}    4.11{col 46}{space 3}0.000{col 54}{space 4} .0930452{col 67}{space 3} .2623466
{txt}{space 6} 24 0  {c |}{col 14}{res}{space 2} .0034356{col 26}{space 2} .0007735{col 37}{space 1}    4.44{col 46}{space 3}0.000{col 54}{space 4} .0019196{col 67}{space 3} .0049517
{txt}{space 6} 24 1  {c |}{col 14}{res}{space 2} .1845805{col 26}{space 2}  .044924{col 37}{space 1}    4.11{col 46}{space 3}0.000{col 54}{space 4} .0965311{col 67}{space 3} .2726299
{txt}{space 6} 25 0  {c |}{col 14}{res}{space 2} .0033928{col 26}{space 2} .0007455{col 37}{space 1}    4.55{col 46}{space 3}0.000{col 54}{space 4} .0019316{col 67}{space 3} .0048539
{txt}{space 6} 25 1  {c |}{col 14}{res}{space 2} .1915221{col 26}{space 2} .0467585{col 37}{space 1}    4.10{col 46}{space 3}0.000{col 54}{space 4} .0998772{col 67}{space 3}  .283167
{txt}{space 6} 26 0  {c |}{col 14}{res}{space 2} .0033513{col 26}{space 2} .0007196{col 37}{space 1}    4.66{col 46}{space 3}0.000{col 54}{space 4}  .001941{col 67}{space 3} .0047617
{txt}{space 6} 26 1  {c |}{col 14}{res}{space 2} .1985074{col 26}{space 2}  .048689{col 37}{space 1}    4.08{col 46}{space 3}0.000{col 54}{space 4} .1030788{col 67}{space 3}  .293936
{txt}{space 6} 27 0  {c |}{col 14}{res}{space 2} .0033113{col 26}{space 2} .0006957{col 37}{space 1}    4.76{col 46}{space 3}0.000{col 54}{space 4} .0019479{col 67}{space 3} .0046748
{txt}{space 6} 27 1  {c |}{col 14}{res}{space 2} .2055224{col 26}{space 2} .0507097{col 37}{space 1}    4.05{col 46}{space 3}0.000{col 54}{space 4} .1061333{col 67}{space 3} .3049116
{txt}{space 6} 28 0  {c |}{col 14}{res}{space 2} .0032727{col 26}{space 2} .0006737{col 37}{space 1}    4.86{col 46}{space 3}0.000{col 54}{space 4} .0019524{col 67}{space 3} .0045931
{txt}{space 6} 28 1  {c |}{col 14}{res}{space 2} .2125526{col 26}{space 2} .0528135{col 37}{space 1}    4.02{col 46}{space 3}0.000{col 54}{space 4} .1090401{col 67}{space 3} .3160652
{txt}{space 6} 29 0  {c |}{col 14}{res}{space 2} .0032354{col 26}{space 2} .0006535{col 37}{space 1}    4.95{col 46}{space 3}0.000{col 54}{space 4} .0019547{col 67}{space 3} .0045162
{txt}{space 6} 29 1  {c |}{col 14}{res}{space 2} .2195829{col 26}{space 2} .0549922{col 37}{space 1}    3.99{col 46}{space 3}0.000{col 54}{space 4} .1118002{col 67}{space 3} .3273656
{txt}{space 6} 30 0  {c |}{col 14}{res}{space 2} .0031994{col 26}{space 2}  .000635{col 37}{space 1}    5.04{col 46}{space 3}0.000{col 54}{space 4} .0019549{col 67}{space 3}  .004444
{txt}{space 6} 30 1  {c |}{col 14}{res}{space 2} .2265976{col 26}{space 2} .0572365{col 37}{space 1}    3.96{col 46}{space 3}0.000{col 54}{space 4} .1144162{col 67}{space 3}  .338779
{txt}{space 6} 31 0  {c |}{col 14}{res}{space 2} .0031647{col 26}{space 2} .0006181{col 37}{space 1}    5.12{col 46}{space 3}0.000{col 54}{space 4} .0019532{col 67}{space 3} .0043763
{txt}{space 6} 31 1  {c |}{col 14}{res}{space 2} .2335806{col 26}{space 2} .0595361{col 37}{space 1}    3.92{col 46}{space 3}0.000{col 54}{space 4}  .116892{col 67}{space 3} .3502692
{txt}{space 6} 32 0  {c |}{col 14}{res}{space 2} .0031313{col 26}{space 2} .0006028{col 37}{space 1}    5.19{col 46}{space 3}0.000{col 54}{space 4} .0019497{col 67}{space 3} .0043128
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{txt}{space 6} 83 1  {c |}{col 14}{res}{space 2} .2505816{col 26}{space 2} .0471915{col 37}{space 1}    5.31{col 46}{space 3}0.000{col 54}{space 4}  .158088{col 67}{space 3} .3430752
{txt}{space 6} 84 0  {c |}{col 14}{res}{space 2} .0026291{col 26}{space 2} .0004063{col 37}{space 1}    6.47{col 46}{space 3}0.000{col 54}{space 4} .0018328{col 67}{space 3} .0034255
{txt}{space 6} 84 1  {c |}{col 14}{res}{space 2} .2437481{col 26}{space 2} .0452921{col 37}{space 1}    5.38{col 46}{space 3}0.000{col 54}{space 4} .1549772{col 67}{space 3}  .332519
{txt}{space 6} 85 0  {c |}{col 14}{res}{space 2} .0026394{col 26}{space 2} .0004054{col 37}{space 1}    6.51{col 46}{space 3}0.000{col 54}{space 4} .0018449{col 67}{space 3}  .003434
{txt}{space 6} 85 1  {c |}{col 14}{res}{space 2} .2368416{col 26}{space 2} .0435575{col 37}{space 1}    5.44{col 46}{space 3}0.000{col 54}{space 4} .1514704{col 67}{space 3} .3222128
{txt}{space 6} 86 0  {c |}{col 14}{res}{space 2} .0026505{col 26}{space 2}  .000405{col 37}{space 1}    6.54{col 46}{space 3}0.000{col 54}{space 4} .0018568{col 67}{space 3} .0034443
{txt}{space 6} 86 1  {c |}{col 14}{res}{space 2} .2298791{col 26}{space 2} .0419987{col 37}{space 1}    5.47{col 46}{space 3}0.000{col 54}{space 4} .1475632{col 67}{space 3} .3121951
{txt}{space 6} 87 0  {c |}{col 14}{res}{space 2} .0026624{col 26}{space 2} .0004052{col 37}{space 1}    6.57{col 46}{space 3}0.000{col 54}{space 4} .0018682{col 67}{space 3} .0034565
{txt}{space 6} 87 1  {c |}{col 14}{res}{space 2} .2228773{col 26}{space 2} .0406232{col 37}{space 1}    5.49{col 46}{space 3}0.000{col 54}{space 4} .1432573{col 67}{space 3} .3024973
{txt}{space 6} 88 0  {c |}{col 14}{res}{space 2}  .002675{col 26}{space 2} .0004061{col 37}{space 1}    6.59{col 46}{space 3}0.000{col 54}{space 4}  .001879{col 67}{space 3}  .003471
{txt}{space 6} 88 1  {c |}{col 14}{res}{space 2} .2158524{col 26}{space 2} .0394345{col 37}{space 1}    5.47{col 46}{space 3}0.000{col 54}{space 4} .1385622{col 67}{space 3} .2931426
{txt}{space 6} 89 0  {c |}{col 14}{res}{space 2} .0026885{col 26}{space 2} .0004079{col 37}{space 1}    6.59{col 46}{space 3}0.000{col 54}{space 4} .0018891{col 67}{space 3} .0034878
{txt}{space 6} 89 1  {c |}{col 14}{res}{space 2} .2088202{col 26}{space 2} .0384317{col 37}{space 1}    5.43{col 46}{space 3}0.000{col 54}{space 4} .1334955{col 67}{space 3}  .284145
{txt}{space 6} 90 0  {c |}{col 14}{res}{space 2} .0027027{col 26}{space 2} .0004105{col 37}{space 1}    6.58{col 46}{space 3}0.000{col 54}{space 4} .0018982{col 67}{space 3} .0035072
{txt}{space 6} 90 1  {c |}{col 14}{res}{space 2} .2017962{col 26}{space 2} .0376092{col 37}{space 1}    5.37{col 46}{space 3}0.000{col 54}{space 4} .1280835{col 67}{space 3}  .275509
{txt}{space 6} 91 0  {c |}{col 14}{res}{space 2} .0027178{col 26}{space 2} .0004141{col 37}{space 1}    6.56{col 46}{space 3}0.000{col 54}{space 4} .0019062{col 67}{space 3} .0035294
{txt}{space 6} 91 1  {c |}{col 14}{res}{space 2} .1947952{col 26}{space 2} .0369572{col 37}{space 1}    5.27{col 46}{space 3}0.000{col 54}{space 4} .1223604{col 67}{space 3} .2672299
{txt}{space 6} 92 0  {c |}{col 14}{res}{space 2} .0027337{col 26}{space 2} .0004188{col 37}{space 1}    6.53{col 46}{space 3}0.000{col 54}{space 4} .0019129{col 67}{space 3} .0035545
{txt}{space 6} 92 1  {c |}{col 14}{res}{space 2} .1878314{col 26}{space 2} .0364615{col 37}{space 1}    5.15{col 46}{space 3}0.000{col 54}{space 4} .1163681{col 67}{space 3} .2592946
{txt}{space 6} 93 0  {c |}{col 14}{res}{space 2} .0027504{col 26}{space 2} .0004247{col 37}{space 1}    6.48{col 46}{space 3}0.000{col 54}{space 4} .0019181{col 67}{space 3} .0035828
{txt}{space 6} 93 1  {c |}{col 14}{res}{space 2} .1809184{col 26}{space 2}  .036105{col 37}{space 1}    5.01{col 46}{space 3}0.000{col 54}{space 4}  .110154{col 67}{space 3} .2516828
{txt}{space 6} 94 0  {c |}{col 14}{res}{space 2}  .002768{col 26}{space 2} .0004318{col 37}{space 1}    6.41{col 46}{space 3}0.000{col 54}{space 4} .0019217{col 67}{space 3} .0036144
{txt}{space 6} 94 1  {c |}{col 14}{res}{space 2} .1740693{col 26}{space 2}  .035868{col 37}{space 1}    4.85{col 46}{space 3}0.000{col 54}{space 4} .1037694{col 67}{space 3} .2443692
{txt}{space 6} 95 0  {c |}{col 14}{res}{space 2} .0027865{col 26}{space 2} .0004403{col 37}{space 1}    6.33{col 46}{space 3}0.000{col 54}{space 4} .0019235{col 67}{space 3} .0036495
{txt}{space 6} 95 1  {c |}{col 14}{res}{space 2} .1672963{col 26}{space 2} .0357296{col 37}{space 1}    4.68{col 46}{space 3}0.000{col 54}{space 4} .0972676{col 67}{space 3} .2373249
{txt}{space 6} 96 0  {c |}{col 14}{res}{space 2} .0028059{col 26}{space 2} .0004503{col 37}{space 1}    6.23{col 46}{space 3}0.000{col 54}{space 4} .0019234{col 67}{space 3} .0036884
{txt}{space 6} 96 1  {c |}{col 14}{res}{space 2} .1606109{col 26}{space 2} .0356684{col 37}{space 1}    4.50{col 46}{space 3}0.000{col 54}{space 4} .0907021{col 67}{space 3} .2305198
{txt}{space 6} 97 0  {c |}{col 14}{res}{space 2} .0028262{col 26}{space 2} .0004617{col 37}{space 1}    6.12{col 46}{space 3}0.000{col 54}{space 4} .0019212{col 67}{space 3} .0037312
{txt}{space 6} 97 1  {c |}{col 14}{res}{space 2} .1540241{col 26}{space 2} .0356637{col 37}{space 1}    4.32{col 46}{space 3}0.000{col 54}{space 4} .0841244{col 67}{space 3} .2239237
{txt}{space 6} 98 0  {c |}{col 14}{res}{space 2} .0028474{col 26}{space 2} .0004748{col 37}{space 1}    6.00{col 46}{space 3}0.000{col 54}{space 4} .0019169{col 67}{space 3}  .003778
{txt}{space 6} 98 1  {c |}{col 14}{res}{space 2} .1475458{col 26}{space 2} .0356957{col 37}{space 1}    4.13{col 46}{space 3}0.000{col 54}{space 4} .0775835{col 67}{space 3} .2175081
{txt}{space 6} 99 0  {c |}{col 14}{res}{space 2} .0028696{col 26}{space 2} .0004895{col 37}{space 1}    5.86{col 46}{space 3}0.000{col 54}{space 4} .0019102{col 67}{space 3}  .003829
{txt}{space 6} 99 1  {c |}{col 14}{res}{space 2} .1411854{col 26}{space 2} .0357462{col 37}{space 1}    3.95{col 46}{space 3}0.000{col 54}{space 4} .0711242{col 67}{space 3} .2112467
{txt}{space 6}100 0  {c |}{col 14}{res}{space 2} .0028927{col 26}{space 2} .0005059{col 37}{space 1}    5.72{col 46}{space 3}0.000{col 54}{space 4} .0019011{col 67}{space 3} .0038844
{txt}{space 6}100 1  {c |}{col 14}{res}{space 2} .1349515{col 26}{space 2}  .035799{col 37}{space 1}    3.77{col 46}{space 3}0.000{col 54}{space 4} .0647868{col 67}{space 3} .2051162
{txt}{space 6}101 0  {c |}{col 14}{res}{space 2} .0029169{col 26}{space 2} .0005242{col 37}{space 1}    5.56{col 46}{space 3}0.000{col 54}{space 4} .0018895{col 67}{space 3} .0039442
{txt}{space 6}101 1  {c |}{col 14}{res}{space 2} .1288517{col 26}{space 2} .0358399{col 37}{space 1}    3.60{col 46}{space 3}0.000{col 54}{space 4} .0586068{col 67}{space 3} .1990966
{txt}{space 6}102 0  {c |}{col 14}{res}{space 2}  .002942{col 26}{space 2} .0005442{col 37}{space 1}    5.41{col 46}{space 3}0.000{col 54}{space 4} .0018754{col 67}{space 3} .0040086
{txt}{space 6}102 1  {c |}{col 14}{res}{space 2} .1228931{col 26}{space 2} .0358568{col 37}{space 1}    3.43{col 46}{space 3}0.001{col 54}{space 4}  .052615{col 67}{space 3} .1931711
{txt}{space 6}103 0  {c |}{col 14}{res}{space 2} .0029682{col 26}{space 2} .0005661{col 37}{space 1}    5.24{col 46}{space 3}0.000{col 54}{space 4} .0018587{col 67}{space 3} .0040777
{txt}{space 6}103 1  {c |}{col 14}{res}{space 2} .1170818{col 26}{space 2} .0358397{col 37}{space 1}    3.27{col 46}{space 3}0.001{col 54}{space 4} .0468373{col 67}{space 3} .1873262
{txt}{space 6}104 0  {c |}{col 14}{res}{space 2} .0029954{col 26}{space 2} .0005899{col 37}{space 1}    5.08{col 46}{space 3}0.000{col 54}{space 4} .0018392{col 67}{space 3} .0041516
{txt}{space 6}104 1  {c |}{col 14}{res}{space 2} .1114233{col 26}{space 2} .0357804{col 37}{space 1}    3.11{col 46}{space 3}0.002{col 54}{space 4}  .041295{col 67}{space 3} .1815516
{txt}{space 6}105 0  {c |}{col 14}{res}{space 2} .0030237{col 26}{space 2} .0006156{col 37}{space 1}    4.91{col 46}{space 3}0.000{col 54}{space 4} .0018171{col 67}{space 3} .0042303
{txt}{space 6}105 1  {c |}{col 14}{res}{space 2} .1059223{col 26}{space 2} .0356726{col 37}{space 1}    2.97{col 46}{space 3}0.003{col 54}{space 4} .0360052{col 67}{space 3} .1758394
{txt}{space 6}106 0  {c |}{col 14}{res}{space 2} .0030531{col 26}{space 2} .0006434{col 37}{space 1}    4.75{col 46}{space 3}0.000{col 54}{space 4} .0017921{col 67}{space 3} .0043141
{txt}{space 6}106 1  {c |}{col 14}{res}{space 2} .1005827{col 26}{space 2} .0355117{col 37}{space 1}    2.83{col 46}{space 3}0.005{col 54}{space 4} .0309811{col 67}{space 3} .1701844
{txt}{space 6}107 0  {c |}{col 14}{res}{space 2} .0030836{col 26}{space 2} .0006731{col 37}{space 1}    4.58{col 46}{space 3}0.000{col 54}{space 4} .0017643{col 67}{space 3} .0044029
{txt}{space 6}107 1  {c |}{col 14}{res}{space 2} .0954078{col 26}{space 2} .0352943{col 37}{space 1}    2.70{col 46}{space 3}0.007{col 54}{space 4} .0262322{col 67}{space 3} .1645835
{txt}{space 6}108 0  {c |}{col 14}{res}{space 2} .0031153{col 26}{space 2}  .000705{col 37}{space 1}    4.42{col 46}{space 3}0.000{col 54}{space 4} .0017336{col 67}{space 3}  .004497
{txt}{space 6}108 1  {c |}{col 14}{res}{space 2} .0904003{col 26}{space 2} .0350187{col 37}{space 1}    2.58{col 46}{space 3}0.010{col 54}{space 4} .0217649{col 67}{space 3} .1590356
{txt}{space 6}109 0  {c |}{col 14}{res}{space 2} .0031482{col 26}{space 2} .0007389{col 37}{space 1}    4.26{col 46}{space 3}0.000{col 54}{space 4}    .0017{col 67}{space 3} .0045964
{txt}{space 6}109 1  {c |}{col 14}{res}{space 2} .0855618{col 26}{space 2} .0346839{col 37}{space 1}    2.47{col 46}{space 3}0.014{col 54}{space 4} .0175827{col 67}{space 3} .1535409
{txt}{space 6}110 0  {c |}{col 14}{res}{space 2} .0031823{col 26}{space 2}  .000775{col 37}{space 1}    4.11{col 46}{space 3}0.000{col 54}{space 4} .0016634{col 67}{space 3} .0047012
{txt}{space 6}110 1  {c |}{col 14}{res}{space 2} .0808938{col 26}{space 2} .0342902{col 37}{space 1}    2.36{col 46}{space 3}0.018{col 54}{space 4} .0136863{col 67}{space 3} .1481012
{txt}{space 6}111 0  {c |}{col 14}{res}{space 2} .0032177{col 26}{space 2} .0008132{col 37}{space 1}    3.96{col 46}{space 3}0.000{col 54}{space 4} .0016237{col 67}{space 3} .0048116
{txt}{space 6}111 1  {c |}{col 14}{res}{space 2} .0763967{col 26}{space 2} .0338386{col 37}{space 1}    2.26{col 46}{space 3}0.024{col 54}{space 4} .0100743{col 67}{space 3} .1427192
{txt}{space 6}112 0  {c |}{col 14}{res}{space 2} .0032543{col 26}{space 2} .0008538{col 37}{space 1}    3.81{col 46}{space 3}0.000{col 54}{space 4} .0015809{col 67}{space 3} .0049277
{txt}{space 6}112 1  {c |}{col 14}{res}{space 2} .0720708{col 26}{space 2}  .033331{col 37}{space 1}    2.16{col 46}{space 3}0.031{col 54}{space 4} .0067432{col 67}{space 3} .1373984
{txt}{space 6}113 0  {c |}{col 14}{res}{space 2} .0032923{col 26}{space 2} .0008966{col 37}{space 1}    3.67{col 46}{space 3}0.000{col 54}{space 4} .0015349{col 67}{space 3} .0050497
{txt}{space 6}113 1  {c |}{col 14}{res}{space 2} .0679154{col 26}{space 2} .0327698{col 37}{space 1}    2.07{col 46}{space 3}0.038{col 54}{space 4} .0036878{col 67}{space 3} .1321431
{txt}{space 6}114 0  {c |}{col 14}{res}{space 2} .0033316{col 26}{space 2} .0009419{col 37}{space 1}    3.54{col 46}{space 3}0.000{col 54}{space 4} .0014856{col 67}{space 3} .0051776
{txt}{space 6}114 1  {c |}{col 14}{res}{space 2} .0639297{col 26}{space 2} .0321579{col 37}{space 1}    1.99{col 46}{space 3}0.047{col 54}{space 4} .0009014{col 67}{space 3} .1269579
{txt}{space 6}115 0  {c |}{col 14}{res}{space 2} .0033723{col 26}{space 2} .0009895{col 37}{space 1}    3.41{col 46}{space 3}0.001{col 54}{space 4} .0014329{col 67}{space 3} .0053118
{txt}{space 6}115 1  {c |}{col 14}{res}{space 2}  .060112{col 26}{space 2} .0314985{col 37}{space 1}    1.91{col 46}{space 3}0.056{col 54}{space 4} -.001624{col 67}{space 3}  .121848
{txt}{space 6}116 0  {c |}{col 14}{res}{space 2} .0034145{col 26}{space 2} .0010397{col 37}{space 1}    3.28{col 46}{space 3}0.001{col 54}{space 4} .0013767{col 67}{space 3} .0054523
{txt}{space 6}116 1  {c |}{col 14}{res}{space 2} .0564605{col 26}{space 2} .0307955{col 37}{space 1}    1.83{col 46}{space 3}0.067{col 54}{space 4}-.0038975{col 67}{space 3} .1168185
{txt}{space 6}117 0  {c |}{col 14}{res}{space 2} .0034581{col 26}{space 2} .0010925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0013169{col 67}{space 3} .0055993
{txt}{space 6}117 1  {c |}{col 14}{res}{space 2} .0529728{col 26}{space 2} .0300526{col 37}{space 1}    1.76{col 46}{space 3}0.078{col 54}{space 4}-.0059292{col 67}{space 3} .1118748
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         parmest, saving("$path\tableSI42_model3_effects.dta", replace) format(estimate min95 max95);
{txt}file C:\Users\scharpf\Dropbox\ArgentinaWorldCup\replication\replicationfiles\tableSI42_model3_effects.dta saved

{com}.         #delimit cr     
{txt}delimiter now cr
{com}.         
.         
.         *2) Preparing data for plotting 
.         
.         *Preserving data
.         preserve
{txt}
{com}.         
.         *Loading data
.         use "$path\table1_model3_effects.dta", clear    
{txt}
{com}.                                 
.         *Identifying host and non-host cities
.         gen hostcity=1 if regexm(parm, "1.hostcity$")
{txt}(117 missing values generated)

{com}.         replace hostcity=0 if regexm(parm, "0.hostcity$") & hostcity==. 
{txt}(117 real changes made)

{com}.         
.         *Generating day variable
.         egen days= seq(), from(1) to() block(2) 
{txt}
{com}.         
.         *Generating STATA date variable
.         gen date=td(28feb1978)+days
{txt}
{com}.         format date %td
{txt}
{com}.                 
.         *Generating event window
.         gen eventx=days if date>=td(01jun1978)
{txt}(184 missing values generated)

{com}.         gen eventylow=0 if eventx!=. & hostcity==1
{txt}(209 missing values generated)

{com}.         gen eventyhigh=.51 if eventx!=. & hostcity==1   
{txt}(209 missing values generated)

{com}.         
.         gen eventylow_nohc=0 if eventx!=. & hostcity==0
{txt}(209 missing values generated)

{com}.         gen eventyhigh_nohc=.051 if eventx!=. & hostcity==0             
{txt}(209 missing values generated)

{com}.         
.         *Keeping relevant variables from Model 3
.         keep parm event* estimate *95 days hostcity
{txt}
{com}.                 
.         *Renaming variables from Model 3
.         foreach var of varlist estimate min95 max95 {c -(}
{txt}  2{com}.                 rename `var' mod3_`var'
{txt}  3{com}.         {c )-}       
{res}{txt}
{com}.                         
.         *Adding results from Model 3, Table SI.4.2
.         merge 1:1 parm using "$path\tableSI42_model3_effects.dta"
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}               0
{txt}{col 5}matched{col 30}{res}             234{txt}  (_merge==3)
{col 5}{hline 41}

{com}.         
.         *Renaming variables
.         foreach var of varlist estimate min95 max95 {c -(}
{txt}  2{com}.                 rename `var' mod4_`var'
{txt}  3{com}.         {c )-}
{res}{txt}
{com}.         
.         *Dropping unused variables
.         keep hostcity days event* mod3_* mod4_*
{txt}
{com}.         
.         *Sorting data
.         sort hostcity days
{txt}
{com}.         
.         
.         *3) Plotting Figure SI.4.1
.         
.         *(a) Host cities
.         #delimit ;              
{txt}delimiter now ;
{com}.         twoway (rarea eventylow eventyhigh eventx, 
>                                         lwidth(0) fcolor(gs15)
>                         )
>                         (rspike mod4_min95 mod4_max95 days if hostcity==1, //Model 4
>                                         lwidth(*.6) lcolor(black) 
>                         )                               
>                         (rarea mod3_min95 mod3_max95 days if hostcity==1, //Model 3
>                                         lwidth(0) fcolor(gs8%70)
>                         )           
>                         (line mod3_estimate days if hostcity==1,        
>                                          lcolor(black) lwidth(*2)
>                         )                       
>                                         ,                               
>                                         ysize(1)
>                                         xsize(1.1) 
>                                         yscale(range(0 .5) noextend titlegap(*+5))
>                                         xscale(range(0 120) noextend titlegap(*+10)) 
>                                         ylabel(0(.1).5, 
>                                                         nogrid labsize(*1) angle(0)
>                                         )
>                                         xlabel(0.5 "March 1" 31.5 "April 1" 61.5 "May 1" 92.5 "June 1" 117.5 "June 25",
>                                                         labsize(*1)
>                                         )
>                                         ytitle("Predicted number of daily repression events", size(*1))
>                                         xtitle(" ")
>                                         legend(off)
>                                         text(.5 105.4 "World Cup", place(s) size(*1))
>                                         yline(0, lpattern(dot) lcolor(black) noextend)
>                                         graphregion(color(white) lcolor(white) lalign(outside))
>                                         ;
{res}{txt}
{com}.         #delimit cr                     
{txt}delimiter now cr
{com}.         graph export "$path\figure_SI41a.pdf", as(pdf) replace          
{txt}(file C:\Users\scharpf\Dropbox\ArgentinaWorldCup\replication\replicationfiles\figure_SI41a.pdf written in PDF format)

{com}.                 
.                 
.         *(b) Other cities
.         #delimit ;              
{txt}delimiter now ;
{com}.         twoway (rarea eventylow_nohc eventyhigh_nohc eventx, 
>                                         lwidth(0) fcolor(gs15)
>                         )
>                         (rspike mod4_min95 mod4_max95 days if hostcity==0,
>                                         lwidth(*.6) lcolor(black) 
>                         )
>                         (rarea mod3_min95 mod3_max95 days if hostcity==0,
>                                         lwidth(0) fcolor(gs8%70)
>                         )
>                     (line mod3_estimate days if hostcity==0,    
>                                          lpattern(shortdash) lcolor(black) lwidth(*2)
>                         )
>                                         ,                               
>                                         ysize(1)
>                                         xsize(1.1) 
>                                         yscale(range(0 .05) noextend titlegap(*+5))
>                                         xscale(range(0 120) noextend titlegap(*+10)) 
>                                         ylabel(0(.01).05, 
>                                                         nogrid labsize(*1) angle(0)
>                                         )
>                                         xlabel(0.5 "March 1" 31.5 "April 1" 61.5 "May 1" 92.5 "June 1" 117.5 "June 25",
>                                                         labsize(*1)
>                                         )
>                                         ytitle("Predicted number of daily repression events", color(black) size(*1))
>                                         xtitle(" ")
>                                         text(.05 105.4 "World Cup", place(s) size(*1))                                          
>                                         legend(off)
>                                         yline(0, lpattern(dot) lcolor(black) noextend)                                  
>                                         graphregion(color(white) lcolor(white) lalign(outside))
>                                         ;
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.         graph export "$path\figure_SI41b.pdf", as(pdf) replace          
{txt}(file C:\Users\scharpf\Dropbox\ArgentinaWorldCup\replication\replicationfiles\figure_SI41b.pdf written in PDF format)

{com}.                 
.         *Restoring data
.         restore
{txt}
{com}.         
.         
.         
.         ****************************************************************************
.         *Figure SI.4.2: Substantive effects using cubic polynomials in negative binomial regression
.         ****************************************************************************                    
. 
.         *1) Calculating substantive effects     
.         
.         *Estimating Model 3, Table SI.4.4
.         #delimit ;
{txt}delimiter now ;
{com}.         nbreg repression 
>                   i.hostcity#c.time 
>                   i.hostcity#c.time#c.time 
>                   i.hostcity#c.time#c.time#c.time 
>                   i.hostcity 
>                   c.time 
>                   c.time#c.time 
>                   c.time#c.time#c.time   
>                   c.lnpop_1970 
>                   c.vote_frejuli 
>                   c.literacy_avg 
>                   c.lnrebact1974 
>                   c.lnrepression70_77 
>                   i.zone2 i.zone3 i.zone4 i.zone5
>                   , 
>                   robust                
>         ;

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-13317.725}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-12252.307}  (not concave)
Iteration 2:{space 3}log pseudolikelihood = {res:-12129.784}  (not concave)
Iteration 3:{space 3}log pseudolikelihood = {res:-11747.084}  
Iteration 4:{space 3}log pseudolikelihood = {res:-5734.2694}  (backed up)
Iteration 5:{space 3}log pseudolikelihood = {res:-5586.1331}  (backed up)
Iteration 6:{space 3}log pseudolikelihood = {res:-5370.1767}  (backed up)
Iteration 7:{space 3}log pseudolikelihood = {res:-4097.7218}  
Iteration 8:{space 3}log pseudolikelihood = {res:-3218.0805}  
Iteration 9:{space 3}log pseudolikelihood = {res:-1504.7847}  
Iteration 10:{space 2}log pseudolikelihood = {res:-1090.8687}  
Iteration 11:{space 2}log pseudolikelihood = {res:-1082.9038}  
Iteration 12:{space 2}log pseudolikelihood = {res:-1082.7376}  
Iteration 13:{space 2}log pseudolikelihood = {res:-1082.7375}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -1829.657}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1488.4935}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1487.9062}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1487.9059}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1487.9059}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1379.3855}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1237.2719}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1030.9172}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1012.1693}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1006.8185}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1006.7549}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1006.7548}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}    56,394
{txt}{col 49}Wald chi2({res}16{txt}){col 67}= {res}    758.71
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1006.7548{txt}{col 49}Pseudo R2{col 67}= {res}    0.3234

{txt}{hline 30}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 31}{c |}{col 43}    Robust
{col 1}                   repression{col 31}{c |}      Coef.{col 43}   Std. Err.{col 55}      z{col 63}   P>|z|{col 71}     [95% Con{col 84}f. Interval]
{hline 30}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}hostcity#c.time {c |}
{space 27}1  {c |}{col 31}{res}{space 2} 1.818225{col 43}{space 2} 5.121253{col 54}{space 1}    0.36{col 63}{space 3}0.723{col 71}{space 4}-8.219247{col 84}{space 3}  11.8557
{txt}{space 29} {c |}
{space 7}hostcity#c.time#c.time {c |}
{space 27}1  {c |}{col 31}{res}{space 2} 6.590738{col 43}{space 2} 11.48992{col 54}{space 1}    0.57{col 63}{space 3}0.566{col 71}{space 4}-15.92909{col 84}{space 3} 29.11056
{txt}{space 29} {c |}
hostcity#c.time#c.time#c.time {c |}
{space 27}1  {c |}{col 31}{res}{space 2}-7.799046{col 43}{space 2} 6.980748{col 54}{space 1}   -1.12{col 63}{space 3}0.264{col 71}{space 4}-21.48106{col 84}{space 3} 5.882968
{txt}{space 29} {c |}
{space 19}1.hostcity {c |}{col 31}{res}{space 2}-.7015679{col 43}{space 2} .6376684{col 54}{space 1}   -1.10{col 63}{space 3}0.271{col 71}{space 4}-1.951375{col 84}{space 3} .5482393
{txt}{space 25}time {c |}{col 31}{res}{space 2}-6.797146{col 43}{space 2} 2.888211{col 54}{space 1}   -2.35{col 63}{space 3}0.019{col 71}{space 4}-12.45794{col 84}{space 3}-1.136356
{txt}{space 29} {c |}
{space 16}c.time#c.time {c |}{col 31}{res}{space 2} 12.07413{col 43}{space 2} 6.048879{col 54}{space 1}    2.00{col 63}{space 3}0.046{col 71}{space 4} .2185447{col 84}{space 3} 23.92971
{txt}{space 29} {c |}
{space 9}c.time#c.time#c.time {c |}{col 31}{res}{space 2}-6.173433{col 43}{space 2} 3.502173{col 54}{space 1}   -1.76{col 63}{space 3}0.078{col 71}{space 4}-13.03757{col 84}{space 3} .6907004
{txt}{space 29} {c |}
{space 19}lnpop_1970 {c |}{col 31}{res}{space 2} .3713545{col 43}{space 2} .2465743{col 54}{space 1}    1.51{col 63}{space 3}0.132{col 71}{space 4}-.1119222{col 84}{space 3} .8546312
{txt}{space 17}vote_frejuli {c |}{col 31}{res}{space 2} .0379557{col 43}{space 2} .0131803{col 54}{space 1}    2.88{col 63}{space 3}0.004{col 71}{space 4} .0121229{col 84}{space 3} .0637886
{txt}{space 17}literacy_avg {c |}{col 31}{res}{space 2} 1.090197{col 43}{space 2} 3.320112{col 54}{space 1}    0.33{col 63}{space 3}0.743{col 71}{space 4}-5.417102{col 84}{space 3} 7.597496
{txt}{space 17}lnrebact1974 {c |}{col 31}{res}{space 2}-.0539665{col 43}{space 2} .0716781{col 54}{space 1}   -0.75{col 63}{space 3}0.452{col 71}{space 4}-.1944529{col 84}{space 3} .0865199
{txt}{space 12}lnrepression70_77 {c |}{col 31}{res}{space 2} .7006836{col 43}{space 2} .1929859{col 54}{space 1}    3.63{col 63}{space 3}0.000{col 71}{space 4} .3224382{col 84}{space 3} 1.078929
{txt}{space 22}1.zone2 {c |}{col 31}{res}{space 2}-2.079315{col 43}{space 2} .4130525{col 54}{space 1}   -5.03{col 63}{space 3}0.000{col 71}{space 4}-2.888883{col 84}{space 3}-1.269747
{txt}{space 22}1.zone3 {c |}{col 31}{res}{space 2}-.9298491{col 43}{space 2} .2575404{col 54}{space 1}   -3.61{col 63}{space 3}0.000{col 71}{space 4}-1.434619{col 84}{space 3}-.4250792
{txt}{space 22}1.zone4 {c |}{col 31}{res}{space 2}-.3972114{col 43}{space 2} .2632768{col 54}{space 1}   -1.51{col 63}{space 3}0.131{col 71}{space 4}-.9132245{col 84}{space 3} .1188017
{txt}{space 22}1.zone5 {c |}{col 31}{res}{space 2}-.9116142{col 43}{space 2} .4810891{col 54}{space 1}   -1.89{col 63}{space 3}0.058{col 71}{space 4}-1.854531{col 84}{space 3}  .031303
{txt}{space 24}_cons {c |}{col 31}{res}{space 2}-13.01486{col 43}{space 2} 3.455363{col 54}{space 1}   -3.77{col 63}{space 3}0.000{col 71}{space 4}-19.78725{col 84}{space 3}-6.242479
{txt}{hline 30}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 21}/lnalpha {c |}{col 31}{res}{space 2} 1.737842{col 43}{space 2} .3275402{col 71}{space 4} 1.095875{col 84}{space 3} 2.379809
{txt}{hline 30}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                        alpha {c |}{col 31}{res}{space 2} 5.685064{col 43}{space 2} 1.862087{col 71}{space 4} 2.991801{col 84}{space 3} 10.80284
{txt}{hline 30}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         #delimit cr             
{txt}delimiter now cr
{com}.         
.         *Calculating effects and exporting effects data
.         #delimit ;      
{txt}delimiter now ;
{com}.         margins, at((asobserved) _all time = (0.01(0.01)1.17)) over(hostcity)                    
>                          level(95) 
>                          post;
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}    56,394
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Predicted number of events, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:over}:{space 1}{res:hostcity}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.01}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.01}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.02}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.02}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.03}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.03}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.04}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.04}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.05}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.05}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.06}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.06}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.07}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.07}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.08}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.08}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.09}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.09}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.11}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.11}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:12._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.12}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.12}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:13._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.13}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.13}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:14._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.14}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.14}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:15._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.15}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.15}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:16._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.16}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.16}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:17._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.17}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.17}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:18._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.18}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.18}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:19._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.19}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.19}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:20._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.2}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:21._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.21}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.21}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:22._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.22}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.22}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:23._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.23}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.23}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:24._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.24}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.24}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:25._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.25}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.25}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:26._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.26}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.26}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:27._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.27}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.27}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:28._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.28}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.28}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:29._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.29}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.29}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:30._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.3}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:31._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.31}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.31}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:32._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.32}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.32}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:33._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.33}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.33}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:34._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.34}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.34}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:35._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.35}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.35}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:36._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.36}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.36}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:37._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.37}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.37}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:38._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.38}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.38}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:39._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.39}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.39}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:40._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.4}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:41._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.41}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.41}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:42._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.42}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.42}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:43._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.43}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.43}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:44._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.44}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.44}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:45._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.45}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.45}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:46._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.46}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.46}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:47._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.47}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.47}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:48._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.48}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.48}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:49._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.49}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.49}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:50._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.5}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:51._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.51}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.51}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:52._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.52}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.52}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:53._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.53}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.53}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:54._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.54}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.54}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:55._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.55}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.55}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:56._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.56}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.56}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:57._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.57}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.57}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:58._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.58}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.58}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:59._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.59}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.59}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:60._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.6}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:61._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.61}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.61}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:62._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.62}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.62}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:63._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.63}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.63}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:64._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.64}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.64}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:65._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.65}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.65}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:66._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.66}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.66}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:67._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.67}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:68._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.68}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.68}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:69._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.69}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.69}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:70._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.7}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:71._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.71}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.71}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:72._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.72}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.72}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:73._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.73}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.73}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:74._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.74}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.74}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:75._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.75}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.75}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:76._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.76}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.76}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:77._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.77}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.77}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:78._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.78}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.78}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:79._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.79}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.79}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:80._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.8}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:81._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.81}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.81}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:82._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.82}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.82}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:83._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.83}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.83}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:84._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.84}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.84}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:85._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.85}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.85}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:86._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.86}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.86}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:87._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.87}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.87}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:88._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.88}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.88}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:89._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.89}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.89}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:90._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.9}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 9}.9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:91._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.91}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.91}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:92._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.92}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.92}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:93._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.93}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.93}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:94._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.94}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.94}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:95._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.95}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.95}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:96._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.96}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.96}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:97._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.97}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.97}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:98._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.98}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.98}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:99._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.99}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}.99}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:100._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:101._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.01}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.01}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:102._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.02}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.02}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:103._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.03}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.03}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:104._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.04}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.04}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:105._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.05}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.05}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:106._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.06}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.06}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:107._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.07}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.07}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:108._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.08}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.08}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:109._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.09}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.09}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:110._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}1.1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 8}1.1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:111._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.11}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.11}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:112._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.12}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.12}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:113._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.13}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.13}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:114._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.14}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.14}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:115._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.15}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.15}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:116._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.16}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.16}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:117._at}:{space 1}{res:{txt}0.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.17}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.hostcity}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:time}{space 12}{txt:=} {space 7}1.17}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
_at#hostcity {c |}
{space 6}  1 0  {c |}{col 14}{res}{space 2} .0072295{col 26}{space 2} .0024693{col 37}{space 1}    2.93{col 46}{space 3}0.003{col 54}{space 4} .0023899{col 67}{space 3} .0120692
{txt}{space 6}  1 1  {c |}{col 14}{res}{space 2} .1600042{col 26}{space 2} .0679036{col 37}{space 1}    2.36{col 46}{space 3}0.018{col 54}{space 4} .0269157{col 67}{space 3} .2930928
{txt}{space 6}  2 0  {c |}{col 14}{res}{space 2} .0067787{col 26}{space 2} .0021735{col 37}{space 1}    3.12{col 46}{space 3}0.002{col 54}{space 4} .0025187{col 67}{space 3} .0110386
{txt}{space 6}  2 1  {c |}{col 14}{res}{space 2} .1530727{col 26}{space 2} .0607663{col 37}{space 1}    2.52{col 46}{space 3}0.012{col 54}{space 4}  .033973{col 67}{space 3} .2721724
{txt}{space 6}  3 0  {c |}{col 14}{res}{space 2} .0063708{col 26}{space 2} .0019199{col 37}{space 1}    3.32{col 46}{space 3}0.001{col 54}{space 4} .0026079{col 67}{space 3} .0101338
{txt}{space 6}  3 1  {c |}{col 14}{res}{space 2} .1469644{col 26}{space 2} .0547724{col 37}{space 1}    2.68{col 46}{space 3}0.007{col 54}{space 4} .0396125{col 67}{space 3} .2543163
{txt}{space 6}  4 0  {c |}{col 14}{res}{space 2} .0060013{col 26}{space 2} .0017028{col 37}{space 1}    3.52{col 46}{space 3}0.000{col 54}{space 4} .0026638{col 67}{space 3} .0093388
{txt}{space 6}  4 1  {c |}{col 14}{res}{space 2}  .141592{col 26}{space 2} .0497799{col 37}{space 1}    2.84{col 46}{space 3}0.004{col 54}{space 4} .0440252{col 67}{space 3} .2391588
{txt}{space 6}  5 0  {c |}{col 14}{res}{space 2} .0056661{col 26}{space 2} .0015173{col 37}{space 1}    3.73{col 46}{space 3}0.000{col 54}{space 4} .0026922{col 67}{space 3}   .00864
{txt}{space 6}  5 1  {c |}{col 14}{res}{space 2} .1368803{col 26}{space 2} .0456673{col 37}{space 1}    3.00{col 46}{space 3}0.003{col 54}{space 4}  .047374{col 67}{space 3} .2263865
{txt}{space 6}  6 0  {c |}{col 14}{res}{space 2} .0053615{col 26}{space 2} .0013592{col 37}{space 1}    3.94{col 46}{space 3}0.000{col 54}{space 4} .0026974{col 67}{space 3} .0080256
{txt}{space 6}  6 1  {c |}{col 14}{res}{space 2} .1327645{col 26}{space 2} .0423285{col 37}{space 1}    3.14{col 46}{space 3}0.002{col 54}{space 4} .0498021{col 67}{space 3}  .215727
{txt}{space 6}  7 0  {c |}{col 14}{res}{space 2} .0050845{col 26}{space 2} .0012249{col 37}{space 1}    4.15{col 46}{space 3}0.000{col 54}{space 4} .0026836{col 67}{space 3} .0074853
{txt}{space 6}  7 1  {c |}{col 14}{res}{space 2} .1291892{col 26}{space 2} .0396689{col 37}{space 1}    3.26{col 46}{space 3}0.001{col 54}{space 4} .0514396{col 67}{space 3} .2069387
{txt}{space 6}  8 0  {c |}{col 14}{res}{space 2} .0048321{col 26}{space 2} .0011112{col 37}{space 1}    4.35{col 46}{space 3}0.000{col 54}{space 4} .0026542{col 67}{space 3}   .00701
{txt}{space 6}  8 1  {c |}{col 14}{res}{space 2} .1261062{col 26}{space 2} .0376018{col 37}{space 1}    3.35{col 46}{space 3}0.001{col 54}{space 4}  .052408{col 67}{space 3} .1998045
{txt}{space 6}  9 0  {c |}{col 14}{res}{space 2}  .004602{col 26}{space 2} .0010153{col 37}{space 1}    4.53{col 46}{space 3}0.000{col 54}{space 4} .0026121{col 67}{space 3} .0065919
{txt}{space 6}  9 1  {c |}{col 14}{res}{space 2} .1234744{col 26}{space 2} .0360476{col 37}{space 1}    3.43{col 46}{space 3}0.001{col 54}{space 4} .0528223{col 67}{space 3} .1941264
{txt}{space 6} 10 0  {c |}{col 14}{res}{space 2}  .004392{col 26}{space 2} .0009347{col 37}{space 1}    4.70{col 46}{space 3}0.000{col 54}{space 4} .0025601{col 67}{space 3}  .006224
{txt}{space 6} 10 1  {c |}{col 14}{res}{space 2} .1212581{col 26}{space 2} .0349324{col 37}{space 1}    3.47{col 46}{space 3}0.001{col 54}{space 4} .0527918{col 67}{space 3} .1897244
{txt}{space 6} 11 0  {c |}{col 14}{res}{space 2} .0042002{col 26}{space 2} .0008673{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0025004{col 67}{space 3}    .0059
{txt}{space 6} 11 1  {c |}{col 14}{res}{space 2} .1194268{col 26}{space 2} .0341886{col 37}{space 1}    3.49{col 46}{space 3}0.000{col 54}{space 4} .0524183{col 67}{space 3} .1864352
{txt}{space 6} 12 0  {c |}{col 14}{res}{space 2} .0040248{col 26}{space 2}  .000811{col 37}{space 1}    4.96{col 46}{space 3}0.000{col 54}{space 4} .0024353{col 67}{space 3} .0056144
{txt}{space 6} 12 1  {c |}{col 14}{res}{space 2} .1179542{col 26}{space 2} .0337552{col 37}{space 1}    3.49{col 46}{space 3}0.000{col 54}{space 4} .0517952{col 67}{space 3} .1841132
{txt}{space 6} 13 0  {c |}{col 14}{res}{space 2} .0038644{col 26}{space 2} .0007642{col 37}{space 1}    5.06{col 46}{space 3}0.000{col 54}{space 4} .0023666{col 67}{space 3} .0053622
{txt}{space 6} 13 1  {c |}{col 14}{res}{space 2} .1168179{col 26}{space 2} .0335785{col 37}{space 1}    3.48{col 46}{space 3}0.001{col 54}{space 4} .0510052{col 67}{space 3} .1826306
{txt}{space 6} 14 0  {c |}{col 14}{res}{space 2} .0037175{col 26}{space 2} .0007253{col 37}{space 1}    5.13{col 46}{space 3}0.000{col 54}{space 4}  .002296{col 67}{space 3}  .005139
{txt}{space 6} 14 1  {c |}{col 14}{res}{space 2} .1159987{col 26}{space 2} .0336122{col 37}{space 1}    3.45{col 46}{space 3}0.001{col 54}{space 4}   .05012{col 67}{space 3} .1818774
{txt}{space 6} 15 0  {c |}{col 14}{res}{space 2}  .003583{col 26}{space 2} .0006928{col 37}{space 1}    5.17{col 46}{space 3}0.000{col 54}{space 4}  .002225{col 67}{space 3}  .004941
{txt}{space 6} 15 1  {c |}{col 14}{res}{space 2} .1154804{col 26}{space 2} .0338172{col 37}{space 1}    3.41{col 46}{space 3}0.001{col 54}{space 4}    .0492{col 67}{space 3} .1817609
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{txt}{space 6}116 1  {c |}{col 14}{res}{space 2} .0142029{col 26}{space 2} .0127097{col 37}{space 1}    1.12{col 46}{space 3}0.264{col 54}{space 4}-.0107077{col 67}{space 3} .0391135
{txt}{space 6}117 0  {c |}{col 14}{res}{space 2} .0020815{col 26}{space 2} .0009148{col 37}{space 1}    2.28{col 46}{space 3}0.023{col 54}{space 4} .0002886{col 67}{space 3} .0038745
{txt}{space 6}117 1  {c |}{col 14}{res}{space 2} .0118181{col 26}{space 2} .0112748{col 37}{space 1}    1.05{col 46}{space 3}0.295{col 54}{space 4}-.0102802{col 67}{space 3} .0339164
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         parmest, saving("$path\tableSI44_model3_effects.dta", replace) format(estimate min95 max95);
{txt}file C:\Users\scharpf\Dropbox\ArgentinaWorldCup\replication\replicationfiles\tableSI44_model3_effects.dta saved

{com}.         #delimit cr     
{txt}delimiter now cr
{com}.         
. 
.         *2) Preparing data for plotting 
.         
.         *Preserving data
.         preserve
{txt}
{com}.         
.         *Loading effects data
.         use "$path\tableSI44_model3_effects.dta", clear 
{txt}
{com}.         
.         *Identifying host and non-host cities
.         gen hostcity="hc_" if regexm(parm, "1.hostcity$")
{txt}(117 missing values generated)

{com}.         replace hostcity="nohc_" if regexm(parm, "0.hostcity$") & hostcity==""
{txt}variable {bf}hostcity{sf} was {bf}{res}str3{sf}{txt} now {bf}{res}str5{sf}
{txt}(117 real changes made)

{com}.         
.         *Identifying time values
.         gen time=regexs(0) if regexm(parm,"^[0-9]+")
{txt}
{com}.         destring time, replace
{txt}time: all characters numeric; {res}replaced {txt}as {res}int
{txt}
{com}.         
.         *Dropping unused variables
.         drop parm z p
{txt}
{com}.         
.         *Reshaping data
.         reshape wide @estimate @stderr @min95 @max95, i(time) j(hostcity) string 
{txt}(note: j = hc_ nohc_)

Data{col 36}long{col 43}->{col 48}wide
{hline 77}
Number of obs.                 {res}     234   {txt}->{res}     117
{txt}Number of variables            {res}       6   {txt}->{res}       9
{txt}j variable (2 values)          {res}hostcity   {txt}->   (dropped)
xij variables:
                               {res}estimate   {txt}->   {res}hc_estimate nohc_estimate
                                 stderr   {txt}->   {res}hc_stderr nohc_stderr
                                  min95   {txt}->   {res}hc_min95 nohc_min95
                                  max95   {txt}->   {res}hc_max95 nohc_max95
{txt}{hline 77}

{com}.         
.         *Generating day variable
.         gen days=_n-1
{txt}
{com}.         
.         *Generating STATA date variables
.         gen date=td(1mar1978) in 1
{txt}(116 missing values generated)

{com}.         replace date=date[_n-1]+1 if date==.
{txt}(116 real changes made)

{com}.         format date %td
{txt}
{com}.         
.         *Generating event window
.         gen eventx=days if date>=td(01jun1978)
{txt}(92 missing values generated)

{com}.         gen eventylow=0 if eventx!=.
{txt}(92 missing values generated)

{com}.         gen eventyhigh=.6 if eventx!=.  
{txt}(92 missing values generated)

{com}.                 
.         
.         *3) Plotting Figure SI.4.2
.         
.         #delimit ;              
{txt}delimiter now ;
{com}.         twoway (rarea eventylow eventyhigh eventx, 
>                                         lwidth(0) fcolor(gs15)
>                         )
>                     (rarea hc_min95 hc_max95 days,
>                                         lwidth(0) fcolor(gs11)
>                         )
>                     (line hc_estimate days,     
>                                          lcolor(black) lwidth(*2)
>                         )
>                     (rarea nohc_min95 nohc_max95 days,
>                                         lwidth(0) fcolor(gs11)
>                         )
>                     (line nohc_estimate days,
>                                         lwidth(*1.3)
>                                         lcolor(black)
>                                         lpattern(shortdash)
>                          )
>                                         ,
>                                         ysize(1)
>                                         xsize(1.1) 
>                                         yscale(range(0 .6) noextend titlegap(*+5))
>                                         xscale(range(0 120) noextend titlegap(*+10)) 
>                                         ylabel(0(.1).6, 
>                                                         nogrid labsize(small) angle(0)
>                                         )
>                                         xlabel(-0.5 "March 1" 30.5 "April 1" 60.5 "May 1" 91.5 "June 1" 116.5 "June 25",
>                                                         labsize(small)
>                                         )
>                                         ytitle("Predicted number of daily repression events")
>                                         xtitle("Date")
>                                         legend(
>                                                 order(3 "Host cities" 5 "Non-host cities") 
>                                                 size(*1) keygap(*0.5) symxsize(*0.5) symysize(*0.5)
>                                                  bmargin(0 0 0 2)
>                                         )
>                                         text(.595 104 "World Cup", place(s) size(*.85))
>                                         yline(0, lpattern(dot) lcolor(black) noextend)                                          
>                                         graphregion(color(white) lcolor(white) lalign(outside))
>                                         ;
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.         graph export "$path\figure_SI42.pdf", as(pdf) replace
{txt}(file C:\Users\scharpf\Dropbox\ArgentinaWorldCup\replication\replicationfiles\figure_SI42.pdf written in PDF format)

{com}. 
.         *Restoring data
.         restore 
{txt}
{com}.         
.         
.         
.         ****************************************************************************
.         *Figure SI.5.1: Repression as a function of proximity to journalist hotels and time to World Cup (negative binomial regression)
.         ****************************************************************************                            
. 
.         *1) Calculating substantive effects             
.         
.         *Estimating Model 1, Table SI.5.2
.         #delimit ;
{txt}delimiter now ;
{com}.         nbreg repression 
>                   c.prox_hotelonly#c.time
>                   c.prox_hotelonly#c.time#c.time
>                   c.prox_hotelonly#c.time#c.time#c.time           
>                   c.prox_hotelonly 
>                   c.time
>                   c.time#c.time
>                   c.time#c.time#c.time            
>                   , 
>                   robust                
>         ;

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1529.0724}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1464.8575}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1460.0517}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1459.9484}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1459.9483}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -1843.669}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1500.2738}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1499.8186}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1499.8185}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1499.8185}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1499.8185}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res: -1452.262}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1353.7878}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1277.1779}  
Iteration 4:{space 3}log pseudolikelihood = {res: -1252.753}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1250.7267}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1250.7066}  
Iteration 7:{space 3}log pseudolikelihood = {res:-1250.7066}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}    58,107
{txt}{col 49}Wald chi2({res}7{txt}){col 67}= {res}     60.44
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1250.7066{txt}{col 49}Pseudo R2{col 67}= {res}    0.1661

{txt}{hline 38}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 39}{c |}{col 51}    Robust
{col 1}                           repression{col 39}{c |}      Coef.{col 51}   Std. Err.{col 63}      z{col 71}   P>|z|{col 79}     [95% Con{col 92}f. Interval]
{hline 38}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}c.prox_hotelonly#c.time {c |}{col 39}{res}{space 2} 4.102039{col 51}{space 2} 5.610104{col 62}{space 1}    0.73{col 71}{space 3}0.465{col 79}{space 4}-6.893563{col 92}{space 3} 15.09764
{txt}{space 37} {c |}
{space 7}c.prox_hotelonly#c.time#c.time {c |}{col 39}{res}{space 2}  2.24941{col 51}{space 2} 13.17377{col 62}{space 1}    0.17{col 71}{space 3}0.864{col 79}{space 4}-23.57071{col 92}{space 3} 28.06953
{txt}{space 37} {c |}
c.prox_hotelonly#c.time#c.time#c.time {c |}{col 39}{res}{space 2}-4.634086{col 51}{space 2}  7.77658{col 62}{space 1}   -0.60{col 71}{space 3}0.551{col 79}{space 4} -19.8759{col 92}{space 3} 10.60773
{txt}{space 37} {c |}
{space 23}prox_hotelonly {c |}{col 39}{res}{space 2}  .851605{col 51}{space 2} .4649727{col 62}{space 1}    1.83{col 71}{space 3}0.067{col 79}{space 4}-.0597248{col 92}{space 3} 1.762935
{txt}{space 33}time {c |}{col 39}{res}{space 2}-42.10063{col 51}{space 2} 49.80618{col 62}{space 1}   -0.85{col 71}{space 3}0.398{col 79}{space 4}-139.7189{col 92}{space 3} 55.51769
{txt}{space 37} {c |}
{space 24}c.time#c.time {c |}{col 39}{res}{space 2}-7.586937{col 51}{space 2} 117.5615{col 62}{space 1}   -0.06{col 71}{space 3}0.949{col 79}{space 4}-238.0032{col 92}{space 3} 222.8293
{txt}{space 37} {c |}
{space 17}c.time#c.time#c.time {c |}{col 39}{res}{space 2} 33.91666{col 51}{space 2}  69.4915{col 62}{space 1}    0.49{col 71}{space 3}0.626{col 79}{space 4}-102.2842{col 92}{space 3} 170.1175
{txt}{space 37} {c |}
{space 32}_cons {c |}{col 39}{res}{space 2}-11.30819{col 51}{space 2} 4.044063{col 62}{space 1}   -2.80{col 71}{space 3}0.005{col 79}{space 4}-19.23441{col 92}{space 3}-3.381976
{txt}{hline 38}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 29}/lnalpha {c |}{col 39}{res}{space 2} 3.245801{col 51}{space 2} .2479891{col 79}{space 4} 2.759751{col 92}{space 3} 3.731851
{txt}{hline 38}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                                alpha {c |}{col 39}{res}{space 2} 25.68227{col 51}{space 2} 6.368923{col 79}{space 4} 15.79591{col 92}{space 3} 41.75631
{txt}{hline 38}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         #delimit cr             
{txt}delimiter now cr
{com}.         
.         *Increasing matsize
.         set matsize 10000
{txt}
{com}.         
.         *Calculating effects and exporting effects data
.         #delimit ;      
{txt}delimiter now ;
{com}.         margins, at((asobserved) _all prox_hotelonly = (0(.376)9.4) time = (0.01(0.04)1.17))                                     
>                          level(95) 
>                          post;
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}    58,107
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Predicted number of events, predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:prox_hotel~y}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:time}{space 12}{txt:=} {space 8}.01}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:prox_hotel~y}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:time}{space 12}{txt:=} {space 8}.05}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:prox_hotel~y}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:time}{space 12}{txt:=} {space 8}.09}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:prox_hotel~y}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:time}{space 12}{txt:=} {space 8}.13}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:prox_hotel~y}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:time}{space 12}{txt:=} {space 8}.17}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:prox_hotel~y}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:time}{space 12}{txt:=} {space 8}.21}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:prox_hotel~y}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:time}{space 12}{txt:=} {space 8}.25}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:prox_hotel~y}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:time}{space 12}{txt:=} {space 8}.29}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:prox_hotel~y}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:time}{space 12}{txt:=} {space 8}.33}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:prox_hotel~y}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:time}{space 12}{txt:=} {space 8}.37}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:prox_hotel~y}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:time}{space 12}{txt:=} {space 8}.41}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:12._at}:{space 1}{res:{txt:prox_hotel~y}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:time}{space 12}{txt:=} {space 8}.45}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:13._at}:{space 1}{res:{txt:prox_hotel~y}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:time}{space 12}{txt:=} {space 8}.49}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:14._at}:{space 1}{res:{txt:prox_hotel~y}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:time}{space 12}{txt:=} {space 8}.53}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:15._at}:{space 1}{res:{txt:prox_hotel~y}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:time}{space 12}{txt:=} {space 8}.57}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:16._at}:{space 1}{res:{txt:prox_hotel~y}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:time}{space 12}{txt:=} {space 8}.61}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:17._at}:{space 1}{res:{txt:prox_hotel~y}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:time}{space 12}{txt:=} {space 8}.65}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:18._at}:{space 1}{res:{txt:prox_hotel~y}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:time}{space 12}{txt:=} {space 8}.69}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:19._at}:{space 1}{res:{txt:prox_hotel~y}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:time}{space 12}{txt:=} {space 8}.73}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:20._at}:{space 1}{res:{txt:prox_hotel~y}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:time}{space 12}{txt:=} {space 8}.77}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:21._at}:{space 1}{res:{txt:prox_hotel~y}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:time}{space 12}{txt:=} {space 8}.81}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:22._at}:{space 1}{res:{txt:prox_hotel~y}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:time}{space 12}{txt:=} {space 8}.85}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:23._at}:{space 1}{res:{txt:prox_hotel~y}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:time}{space 12}{txt:=} {space 8}.89}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:24._at}:{space 1}{res:{txt:prox_hotel~y}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:time}{space 12}{txt:=} {space 8}.93}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:25._at}:{space 1}{res:{txt:prox_hotel~y}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:time}{space 12}{txt:=} {space 8}.97}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:26._at}:{space 1}{res:{txt:prox_hotel~y}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:time}{space 12}{txt:=} {space 7}1.01}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:27._at}:{space 1}{res:{txt:prox_hotel~y}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:time}{space 12}{txt:=} {space 7}1.05}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:28._at}:{space 1}{res:{txt:prox_hotel~y}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:time}{space 12}{txt:=} {space 7}1.09}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:29._at}:{space 1}{res:{txt:prox_hotel~y}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:time}{space 12}{txt:=} {space 7}1.13}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:30._at}:{space 1}{res:{txt:prox_hotel~y}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
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{txt}{space 8}764  {c |}{col 14}{res}{space 2} .0603551{col 26}{space 2}  .016807{col 37}{space 1}    3.59{col 46}{space 3}0.000{col 54}{space 4} .0274141{col 67}{space 3} .0932961
{txt}{space 8}765  {c |}{col 14}{res}{space 2} .0670136{col 26}{space 2} .0184738{col 37}{space 1}    3.63{col 46}{space 3}0.000{col 54}{space 4} .0308055{col 67}{space 3} .1032216
{txt}{space 8}766  {c |}{col 14}{res}{space 2} .0737115{col 26}{space 2} .0204446{col 37}{space 1}    3.61{col 46}{space 3}0.000{col 54}{space 4} .0336408{col 67}{space 3} .1137821
{txt}{space 8}767  {c |}{col 14}{res}{space 2} .0800244{col 26}{space 2} .0226554{col 37}{space 1}    3.53{col 46}{space 3}0.000{col 54}{space 4} .0356206{col 67}{space 3} .1244283
{txt}{space 8}768  {c |}{col 14}{res}{space 2} .0854313{col 26}{space 2} .0249124{col 37}{space 1}    3.43{col 46}{space 3}0.001{col 54}{space 4} .0366038{col 67}{space 3} .1342588
{txt}{space 8}769  {c |}{col 14}{res}{space 2} .0893532{col 26}{space 2} .0269014{col 37}{space 1}    3.32{col 46}{space 3}0.001{col 54}{space 4} .0366274{col 67}{space 3}  .142079
{txt}{space 8}770  {c |}{col 14}{res}{space 2} .0912207{col 26}{space 2} .0282464{col 37}{space 1}    3.23{col 46}{space 3}0.001{col 54}{space 4} .0358588{col 67}{space 3} .1465826
{txt}{space 8}771  {c |}{col 14}{res}{space 2} .0905647{col 26}{space 2} .0286054{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0344992{col 67}{space 3} .1466302
{txt}{space 8}772  {c |}{col 14}{res}{space 2}  .087116{col 26}{space 2} .0277819{col 37}{space 1}    3.14{col 46}{space 3}0.002{col 54}{space 4} .0326645{col 67}{space 3} .1415676
{txt}{space 8}773  {c |}{col 14}{res}{space 2} .0808915{col 26}{space 2} .0258196{col 37}{space 1}    3.13{col 46}{space 3}0.002{col 54}{space 4} .0302861{col 67}{space 3} .1314969
{txt}{space 8}774  {c |}{col 14}{res}{space 2} .0722379{col 26}{space 2} .0230374{col 37}{space 1}    3.14{col 46}{space 3}0.002{col 54}{space 4} .0270855{col 67}{space 3} .1173903
{txt}{space 8}775  {c |}{col 14}{res}{space 2} .0618124{col 26}{space 2} .0199614{col 37}{space 1}    3.10{col 46}{space 3}0.002{col 54}{space 4} .0226888{col 67}{space 3} .1009361
{txt}{space 8}776  {c |}{col 14}{res}{space 2} .0504926{col 26}{space 2} .0171255{col 37}{space 1}    2.95{col 46}{space 3}0.003{col 54}{space 4} .0169273{col 67}{space 3} .0840579
{txt}{space 8}777  {c |}{col 14}{res}{space 2} .0392294{col 26}{space 2} .0147967{col 37}{space 1}    2.65{col 46}{space 3}0.008{col 54}{space 4} .0102284{col 67}{space 3} .0682305
{txt}{space 8}778  {c |}{col 14}{res}{space 2} .0288815{col 26}{space 2} .0128491{col 37}{space 1}    2.25{col 46}{space 3}0.025{col 54}{space 4} .0036977{col 67}{space 3} .0540653
{txt}{space 8}779  {c |}{col 14}{res}{space 2} .0200745{col 26}{space 2} .0109647{col 37}{space 1}    1.83{col 46}{space 3}0.067{col 54}{space 4} -.001416{col 67}{space 3}  .041565
{txt}{space 8}780  {c |}{col 14}{res}{space 2} .0131243{col 26}{space 2} .0089499{col 37}{space 1}    1.47{col 46}{space 3}0.143{col 54}{space 4}-.0044173{col 67}{space 3} .0306659
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         parmest, saving("$path\tableSI52_model1_effects.dta", replace) format(estimate min95 max95);
{txt}file C:\Users\scharpf\Dropbox\ArgentinaWorldCup\replication\replicationfiles\tableSI52_model1_effects.dta saved

{com}.         #delimit cr
{txt}delimiter now cr
{com}.         
.         
.         *2) Preparing data for plotting         
.         
.         *Preserving data
.         preserve        
{txt}
{com}.         
.         *Loading data
.         use "$path\tableSI52_model1_effects.dta", clear         
{txt}
{com}.         
.         *Identifying individual observations
.         gen obs=regexs(0) if regexm(parm,"^[0-9]+")     
{txt}
{com}.         destring obs, replace
{txt}obs: all characters numeric; {res}replaced {txt}as {res}int
{txt}
{com}.         
.         *Generating time value (determines length of each proxy panel)
.         egen prox=seq(), block(30)
{txt}
{com}.         bys prox (obs): gen timevalue=0.01 if _n==1
{txt}(754 missing values generated)

{com}.         bys prox (obs): replace timevalue=timevalue[_n-1]+0.04 if timevalue==.  
{txt}(754 real changes made)

{com}.         
.         *Generating proximity values
.         gen proxvalue=(prox-1)*0.376
{txt}
{com}.         
.         *Keeping relevant variables
.         keep estimate timevalue proxvalue
{txt}
{com}.         
.         *Labeling vars
.         label var estimate "Predicted count"
{txt}
{com}.         label var timevalue "Time (01 = March 1,..., 1.17 = June 25)"
{txt}
{com}.         label var proxvalue "Proximity to hotel (0 = Far away,..., 9.4 = Close)"
{txt}
{com}.         
.         
.         *3) Plotting Figure SI.5.1
.         
.         #delimit ;              
{txt}delimiter now ;
{com}.         twoway (contour estimate proxvalue timevalue, levels(20) minmax)                
>                                         ,
>                                         ysize(1)
>                                         xsize(1.5) 
>                                         yscale(range(0 9.4) noextend titlegap(*+5))
>                                         xscale(range(0.01 1.17) noextend titlegap(*+10)) 
>                                         zlabel(#5, labsize(*.9)  format(%9.3f))
>                                         ylabel(0 "Min" 9.4 "Max", 
>                                                         nogrid labsize(*.9) angle(0)
>                                         )
>                                         xlabel(0.01 "March 1" 0.32 "April 1" 0.62 "May 1" 0.93 "June 1" 1.17 "June 25",
>                                                         labsize(*.9)
>                                         )
>                                         ytitle("Proximity to journalist hotel")
>                                         xtitle("Time")                                          
>                                         graphregion(color(white) lcolor(white) lalign(outside) margin(5 7 1 2))                         
>                                         scheme(s2mono)
>                                         ;
{res}{txt}
{com}.         #delimit cr
{txt}delimiter now cr
{com}.         graph export "$path\figure_SI51.pdf", as(pdf) replace           
{txt}(file C:\Users\scharpf\Dropbox\ArgentinaWorldCup\replication\replicationfiles\figure_SI51.pdf written in PDF format)

{com}.         
.         *Restoring data
.         restore 
{txt}
{com}.                 
.         
.         
.         
. ********************************************************************************
. *
. * Descriptive analysis
. *
. ********************************************************************************        
.         
. 
.         ****************************************************************************
.         *Figure 1: Autocratic hosts of international sports events, 1990-2024
.         ****************************************************************************
.         
.         *Preserving data
.         preserve        
{txt}
{com}.         
.         *Loading data
.         use "$path\figure_1_data.dta", clear
{txt}
{com}.                 
.         *Plotting Figure 1
.         #delimit ;
{txt}delimiter now ;
{com}.         twoway (connected autochostperc postcwy,
>                         lcolor(black)
>                         mlcolor(black)
>                         mfcolor(black)
>                         ),
>                 ysize(1)
>                 xsize(1.2)
>                 yscale(range(0 7) noextend titlegap(+2))
>                 ylabel(0(10)50, angle(horizontal) nogrid) 
>                 xscale(range(.5 7.5) noextend titlegap(+3))             
>                 xlabel(1 `" "1990-" "1994 " "' 2 `" "1995-" "1999 " "' 3 `" "2000-" "2004 " "' 4 `" "2005-" "2009 " "'
>                            5 `" "2010-" "2014 " "' 6 `" "2015-" "2019 " "' 7 `" "2020-" "2024 " "', noticks labgap(+3))         
>                 xticks(1(1)7,tlength(*1))               
>                 ytitle("Autocratic host regimes (in %)", size(*1.2))
>                 xtitle("Years", size(*1.2))
>                 legend(off)
>                 plotregion(lcolor(white)) 
>                 graphregion(color(white) lcolor(white) lalign(outside))                 
>         ;
{res}{txt}
{com}.         #delimit cr
{txt}delimiter now cr
{com}.         graph export "$path\figure_1.pdf", as(pdf) replace      
{txt}(file C:\Users\scharpf\Dropbox\ArgentinaWorldCup\replication\replicationfiles\figure_1.pdf written in PDF format)

{com}. 
.         *Restoring data
.         restore
{txt}
{com}.         
.         
.         ****************************************************************************
.         *Figure 3: Accredited international journalists by country
.         ****************************************************************************    
.         
.         *Preserving data
.         preserve        
{txt}
{com}.         
.         *Loading data
.         use "$path\figure_3_data.dta", clear
{txt}
{com}.                         
.         *Plotting Figure 3      
.         #delimit ;
{txt}delimiter now ;
{com}.         twoway (dropline journalists rank if democracy==1 | democracy==.,
>                         horizontal
>                         mcolor(black)
>                         lcolor(black)
>                         )
>                         (dropline journalists rank if democracy==0,
>                                                 horizontal
>                                                 mcolor(black)
>                                                 mfcolor(white)
>                                                 lcolor(black)
>                         )                       
>                 ,
>                 ysize(1.5)
>                 xsize(1.25)             
>                 yscale(range(.5 24) noextend titlegap(+2) reverse)                      
>                 xscale(range() noextend titlegap(+3))                           
>                 ylabel(1(1)24, valuelabel angle(horizontal) nogrid)                     
>                 xtick(0(100)500, tlength(*.5))
>                 ytitle("")
>                 xtitle("Number of journalists", size(*1))
>                 legend(order( 
>                                                                 2 "Autocracy"
>                                                                 1 "Democracy"
>                                                                 )                                       
>                                                         col(1)
>                                                         size(*.85)                      
>                                                         keygap(*1) 
>                                                         symxsize(*0.35) 
>                                                         symysize(*0.5) 
>                                                         region(lcolor(white))
>                                                         position(4) ring(0) bmargin(2 0 10 10)
>                                                         )
>                 plotregion(lcolor(white)) 
>                 graphregion(color(white) lcolor(white) lalign(outside)) 
>         ;
{res}{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}.         graph export "$path\figure_3.pdf", as(pdf) replace
{txt}(file C:\Users\scharpf\Dropbox\ArgentinaWorldCup\replication\replicationfiles\figure_3.pdf written in PDF format)

{com}.                 
.         *Preserving data
.         restore         
{txt}
{com}.                 
.                 
.         ****************************************************************************
.         *Figure 4: Repression before and during the 1978 FIFA World Cup
.         ****************************************************************************                    
.         
.         *Preserving data
.         preserve
{txt}
{com}.         
.         *Collapsing data by host city in analysis window
.         collapse (sum) sum_rep=repression (mean) mean_rep=repression (first) date, by(hostcity prewc_time3m)
{txt}
{com}.         
.         *Dropping obs outside of window
.         drop if prewc_time3m==. 
{txt}(2 observations deleted)

{com}.         sort hostcity date
{txt}
{com}.         
.         *Generating 5-day moving average variable
.         rangestat (mean) sum_rep, by(hostcity) interval(prewc_time3m -2 2)
{res}{txt}
{com}.         
.         *Generating shading for World Cup phase
.         sum sum_rep mean_rep

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 5}sum_rep {c |}{res}        234    1.252137    1.607552          0         10
{txt}{space 4}mean_rep {c |}{res}        234      .10153    .2179741          0        1.4
{txt}
{com}.         gen wc_sumrep_low=0 if date>=td(01jun1978)
{txt}(184 missing values generated)

{com}.         gen wc_sumrep_high=7.2 if date>=td(01jun1978) 
{txt}(184 missing values generated)

{com}.         
.         gen wc_sumrep_low_smooth=0 if date>=td(01jun1978)
{txt}(184 missing values generated)

{com}.         gen wc_sumrep_high_smooth=3.2 if date>=td(01jun1978)    
{txt}(184 missing values generated)

{com}.         
.         
.         *Plotting Figure 4      
.         #delimit ;      
{txt}delimiter now ;
{com}.         twoway (rarea wc_sumrep_low wc_sumrep_high prewc_time3m if prewc_time3m<=117 & hostcity==1, lwidth(none) fcolor(gs15))  
>                    (spike sum_rep prewc_time3m if prewc_time3m<=117 & hostcity==1, lpattern(solid) lcolor(gs12) lwidth(*1))
>                    (line sum_rep_mean prewc_time3m if prewc_time3m<=117 & hostcity==1, lpattern(solid) lcolor(black) lwidth(*1.3))                 
>                    ,
>                         ysize(1)
>                         xsize(1.1)                      
>                         yscale(range() noextend titlegap(*+5))
>                         xscale(range(0 117.5) noextend titlegap(*+7))
>                         ylabel(0(1)7, angle(horizontal) nogrid)
>                         xlabel(15.5 "March" 46.5 "April" 76.5 "May" 105.5 "June" 117.5 " ", noticks labgap(+1.5))
>                         xtick(0.5 31.5 61.5 92.5)
>                         ytitle("Number of repression events")
>                         xtitle("")
>                         yline(0, lcolor(black) lpattern(dot))
>                         graphregion(color(white) lcolor(white) lalign(outside)) 
>                     text(7 105.4 "World Cup", placement(c))                             
>                         legend(off)
>                    ;
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.         graph export "$path\figure_4.pdf", as(pdf) replace      
{txt}(file C:\Users\scharpf\Dropbox\ArgentinaWorldCup\replication\replicationfiles\figure_4.pdf written in PDF format)

{com}. 
.         *Restoring data
.         restore 
{txt}
{com}.                 
.                 
.         
.         ****************************************************************************
.         *Figure 9: Daytime patterns of repression before, during, and after the World Cup
.         ****************************************************************************    
.         
.         *Preserving data
.         preserve        
{txt}
{com}.         
.         *Loading data
.         use "$path\figure_9_data.dta", clear    
{txt}
{com}.         
.         *Generating variable indicating whether repression occurred before, during, after World Cup
.         gen period=1 if days<0 & days>=-90
{txt}(104 missing values generated)

{com}.         replace period=2 if days==0
{txt}(12 real changes made)

{com}.         replace period=3 if days>0 & days<=90
{txt}(88 real changes made)

{com}.                 
.         *Aggregating victims by part of day (1=[23:00-11:59], 2=[12:00-22:59])
.         bysort period (date): egen n_reptimeobs_c=count(daytime)                
{txt}
{com}.         
.         *Calculating share of victims targeted in each part of day
.         foreach l of numlist 1 2 {c -(}
{txt}  2{com}.         gen reptd_`l'_c=1 if daytime==`l'  
{txt}  3{com}.         bysort period (date): egen n_reptd_`l'_c=total(reptd_`l'_c)     
{txt}  4{com}.         bysort period (date): generate s_reptd_`l'_c=(n_reptd_`l'_c/n_reptimeobs_c)*100         
{txt}  5{com}.         {c )-}       
{txt}(65 missing values generated)
(137 missing values generated)

{com}.         
.         *Collapsing data for plotting
.         collapse (firstnm) s_reptd_*, by(period)
{txt}
{com}.         drop if period==.               
{txt}(1 observation deleted)

{com}. 
.         *Plotting Figure 9      
.         #delimit ;
{txt}delimiter now ;
{com}.         twoway (connected s_reptd_1_c period, lpattern(shortdash) lcolor(black) mlcolor(black) mfcolor(white) msize(*1.1))
>                    (connected s_reptd_2_c period, lpattern(solid) lcolor(black) mcolor(black) msize(*1.1))
>                                         , 
>                                          ysize(1)
>                                          xsize(1.1)
>                                          yscale(range() noextend titlegap(*+5))
>                                          xscale(range() noextend titlegap(*+7))                                  
>                                          ylabel(30(10)70, angle(horizontal) nogrid)
>                                          xlabel(1 "Before" 2 "During" 3 "After")
>                                          ytitle("Share of repression events (in %)")
>                                          xtitle("World Cup")
>                                          legend(
>                                                 cols(1) 
>                                                 order( 2 "Core broadcasting hours (12:00 - 22:59)" 1 "Rest of the day (23:00 - 11:59)") // 1=[23:00-11:59], 2=[12:00-22:59]     
>                                                 size(*1) keygap(*0.5) symxsize(*0.5) symysize(*0.5)
>                                                  bmargin(0 0 0 2)                                               
>                                          )
>                                         graphregion(color(white) lcolor(white) lalign(outside))                                          
>                                          ;
{res}{txt}
{com}.         #delimit cr              
{txt}delimiter now cr
{com}.         graph export "$path\figure_9.pdf", as(pdf) replace                      
{txt}(file C:\Users\scharpf\Dropbox\ArgentinaWorldCup\replication\replicationfiles\figure_9.pdf written in PDF format)

{com}.                 
.         *Restoring data
.         restore 
{txt}
{com}.                         
.         
.         
.         ****************************************************************************
.         *Figure 11: Changes in repression around international sports events, 1945-2020
.         ****************************************************************************    
.         
.         *Preserving data
.         preserve                
{txt}
{com}.         
.         *Loading data
.         use "$path\figure_11_SI71_data.dta", clear
{txt}(V-Dem-CY-Core)

{com}.         
.         *Gernerating manually demeaned repression scores
.         bys winid_event_all (year): egen winmean_event_all = mean(hr_mean) if winid_event_all!=. 
{txt}(11913 missing values generated)

{com}.         bys winid_event_all (year): gen repdemean_event_all = hr_mean - winmean_event_all if winid_event_all!=. 
{txt}(11,921 missing values generated)

{com}.         bys fullwin_event_all (year): egen mean_repdemean_event_all = mean(repdemean_event_all) if fullwin_event_all!=.         
{txt}(11913 missing values generated)

{com}.         
.         *Plotting Figure 9      
.         #delimit ;              
{txt}delimiter now ;
{com}.         twoway  (connected mean_repdemean_event_all fullwin_event_all if fullwin_event_all!=.
>                                         ,
>                                         msize(*1.2)
>                                         mcolor(black) lcolor(black) mlwidth(0)
>                         )                       
>                                         ,
>                                         ysize(1)
>                                         xsize(1.1) 
>                                         yscale(range(-.02 .06) noextend titlegap(*+5))
>                                         xscale(range(-4.25 4.25) noextend titlegap(*+10)) 
>                                         ylabel(-.02(.02).06, 
>                                                         nogrid labsize(*.9) angle(0)
>                                         )
>                                         xlabel(-4(1)0 1 "+1" 2 "+2" 3 "+3" 4 "+4",
>                                                         labsize(*.9)
>                                         )
>                                         xticks(,tlength(*1))
>                                         xline(0, lcolor(gs15) lwidth(*20))
>                                         ytitle("Mean repression" "(window standardized)", size(*1.2))
>                                         xtitle("Year", size(*1.2))
>                                         legend(off)                                                     
>                                         graphregion(color(white) lcolor(white) lalign(outside))                         
>                                         ;
{res}{txt}
{com}.         #delimit cr                     
{txt}delimiter now cr
{com}.         graph export "$path\figure_11.pdf", as(pdf) replace
{txt}(file C:\Users\scharpf\Dropbox\ArgentinaWorldCup\replication\replicationfiles\figure_11.pdf written in PDF format)

{com}. 
.         *Restoring data
.         restore         
{txt}
{com}.         
.         
. 
.         ****************************************************************************
.         *Figure SI.4.3: Protest occurrence, March 1976 - March 1981
.         ****************************************************************************                            
.         
.         *Preserving data
.         preserve                
{txt}
{com}.         
.         *Loading data
.         use "$path\figure_SI43_data.dta", clear
{txt}
{com}.         
.         *Calculating difference in strikes between host and other cities
.         gen strike_diff=strike_hc-strike_nonhc  
{txt}
{com}.         
.         *Inverting strike counts in non-host cities for plotting
.         gen strike_nonhc_inv=strike_nonhc*(-1)  
{txt}
{com}.         
.         
.         *Plotting Figure SI.4.3.        
.         
.         *a) Occurrence of protest events
.         #delimit ;      
{txt}delimiter now ;
{com}.         twoway (bar strike_hc month, color(gray) lwidth(0) barwidth(0.9))
>                    (bar strike_nonhc_inv month, color(black) lwidth(0) barwidth(0.9))              
>                    ,
>                         ysize(1)
>                         xsize(1.25)                     
>                         yscale(range(-15  15) noextend titlegap(*+5))
>                         xscale(range(-.5 61) noextend titlegap(*+7))
>                         ylabel(-15 "15" -10 "10" -5 "5" 0(5)15, angle(horizontal) nogrid)
>                         xlabel(5 "1976" 16 "1977" 28 "1978" 40 "1979" 52 "1980" 61.5 " ", labgap(+1.5) noticks)
>                         xticks(-.5 10.5 22.5 34.5 46.5 58.5)
>                         ytitle("Number of strikes")
>                         xtitle("Time")
>                         xline(28, lcolor(gray) lpattern(shortdash) lwidth(*1))
>                         yline(0, lcolor(black) lwidth(0.2))
>                         graphregion(color(white) lcolor(white) lalign(outside)) 
>                         legend(order(1 "Host cities" 2 "Other cities")  
>                                                 cols(1)
>                                                 size(*1) keygap(*0.75) symxsize(*0.1) symysize(*1)
>                                                 bmargin(1 0 0 5)
>                                                 position(3))
>                    ;
{res}{txt}
{com}.         #delimit cr                     
{txt}delimiter now cr
{com}.         graph export "$path\figure_SI43a.pdf", replace as(pdf)  
{txt}(file C:\Users\scharpf\Dropbox\ArgentinaWorldCup\replication\replicationfiles\figure_SI43a.pdf written in PDF format)

{com}.         
. 
.         *b) Difference in protest events
.         #delimit ;      
{txt}delimiter now ;
{com}.         twoway (dropline strike_diff month, msize(*.8) color(gs12) lwidth(*.7) ) //lwidth(0) barwidth(0.9)
>                    (lpoly strike_diff month, kernel(gaussian) bwidth(2) lpattern(solid) lcolor(black) lwidth(*1.2) )
>                    ,
>                         ysize(1)
>                         xsize(1.25)                     
>                         yscale(range(-10  10) noextend titlegap(*+5))
>                         xscale(range(-.5 61) noextend titlegap(*+7))
>                         ylabel(-10(5)10, angle(horizontal) nogrid)
>                         xlabel(5 "1976" 16 "1977" 28 "1978" 40 "1979" 52 "1980" 61.5 " ", labgap(+1.5) noticks)
>                         xticks(-.5 10.5 22.5 34.5 46.5 58.5)
>                         ytitle("Strikes{c -(}subscript:Host cities{c )-} {c -(}bf:-{c )-} Strikes{c -(}subscript:Other cities{c )-}")
>                         xtitle("Time")
>                         xline(28, lcolor(gray) lpattern(shortdash) lwidth(*1))
>                         yline(0, lcolor(gs12) lwidth(0.2))
>                         graphregion(color(white) lcolor(white) lalign(outside)) 
>                         legend(order(1 "Raw" "difference" 2 "Smoothed" "difference")
>                                                 cols(1)
>                                                 size(*1) keygap(*0.75) symxsize(*0.5) symysize(*0.5)
>                                                 bmargin(1 0 0 5)
>                                                 position(3))
>                    ;
{res}{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}.         graph export "$path\figure_SI43b.pdf", replace as(pdf)  
{txt}(file C:\Users\scharpf\Dropbox\ArgentinaWorldCup\replication\replicationfiles\figure_SI43b.pdf written in PDF format)

{com}.         
.         *Restoring data
.         restore         
{txt}
{com}.         
.         
.         
.         ****************************************************************************
.         *Figure SI.1.1: Host regimes of international sports event, 1945-2024
.         ****************************************************************************            
.         
.         *Preserving data
.         preserve        
{txt}
{com}.         
.         *Loading data
.         use "$path\figure_SI11_data.dta", clear
{txt}
{com}.         
.         *Plotting Figure SI.1.1
.         #delimit ;
{txt}delimiter now ;
{com}.         twoway (rspike democ baseline year,
>                         lwidth(*2.5)
>                         lcolor(gs10)
>                         )
>                    (rspike autoc baseline year,
>                         lwidth(*2.5)
>                         lcolor(black)
>                         )
>                 ,
>                 ysize(1)
>                 xsize(1.4)
>                 yscale(range(2.5 27.5) noextend)
>                 xscale(range(1946 2022) noextend titlegap(+3))                                          
>                 ylabel( 
>                                 2.5 "Rugby World Cup"
>                                 5 "Winter Olympic Games"
>                                 7.5 "Summer Olympic Games"
>                                 10 "World Athletics Championships"
>                                 12.5 "Ice Hockey World Championships"
>                                 15 "FIFA World Cup"
>                                 17.5 "Cricket World Cup"
>                                 20 "World Handball Championship"
>                                 22.5 "World Table Tennis Championships"
>                                 25 "Basketball World Cup"
>                                 27.5 "Volleyball World Championship"
>                                 , angle(horizontal) valuelabel glcolor(gs10) glwidth(*.1) labsize(*.9)) 
>                 xlabel(1950(10)2020, labsize(*.9))      
>                 xtitle("")
>                 legend(off)
>                 plotregion(lcolor(white)) 
>                 graphregion(color(white) lcolor(white) lalign(outside))                 
>         ;
{res}{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}.         graph export "$path\figure_SI11.pdf", as(pdf) replace   
{txt}(file C:\Users\scharpf\Dropbox\ArgentinaWorldCup\replication\replicationfiles\figure_SI11.pdf written in PDF format)

{com}.         
.         *Restoring data
.         restore         
{txt}
{com}.         
.         
. 
.         ****************************************************************************
.         *Figure SI.5.2: Match schedule and journalist working hours during the 1978 FIFA World Cup
.         ****************************************************************************                            
. 
.         *Preserving data
.         preserve        
{txt}
{com}.         
.         *Loading data
.         use "$path\figure_SI52_data", clear
{txt}
{com}.         
.         *Generating y-axis
.         gen yaxis=day
{txt}
{com}.         replace yaxis=0.5 if day==1
{txt}(1 real change made)

{com}.         replace yaxis=25.5 if day==25   
{txt}(1 real change made)

{com}.         
.         *Generating shaded area 
.         gen broadcaststart=12
{txt}
{com}.         gen broadcastend=22.95          
{txt}
{com}.         
.         *Plotting Figure SI.5.2
.         #delimit ;
{txt}delimiter now ;
{com}.         twoway  (rarea broadcastend broadcaststart yaxis, horizontal lwidth(none) fcolor(gs14)) 
>                         (pci -4 12 29.5 12, lpattern(shortdash) lcolor(black))
>                         (pci -4 23 29.5 23, lpattern(shortdash) lcolor(black))              
>                         (rbar time_start_plot time_end_plot day, horizontal barwidth(.75) fcolor(black) lwidth(none))
>                         , 
>                                          ysize(1)
>                                          xsize(1.65)
>                                          yscale(range(-4 29.5) extend titlegap(*-15))
>                                          xscale(range(6 28) noextend titlegap(*+7) )                     
>                                          ylabel(0.5 `" "Opening match" "(June 01)" "' 25.5 `" "Final match" "(June 25)" "'
>                                                         ,labsize(*.8) labgap(+3) notick angle(horizontal) glcolor(black) glpattern(dot) 
>                                          )
>                                          ytick(0.5 25.5, tlength(*1.2))
>                                          xlabel(6 "6:00" 8 "8:00"  10 "10:00" 12 "12:00" 14 "14:00" 16 "16:00" 
>                                                         18 "18:00" 20 "20:00" 22 "22:00" 24 "24:00"
>                                                         26 "2:00" 28 "4:00" 30 "6:00"
>                                                         , labsize(*.8)
>                                          )
>                                          xtick(6(1)30, tlength(*.5))
>                                          ytitle("World Cup")
>                                          xtitle("Day time")             
>                                          legend( 
>                                                 rows(2) 
>                                                 order(1 "Core broadcasting hours" 4 "Matches")
>                                                 size(*.8) keygap(*0.5) symxsize(*0.5) symysize(*0.5)
>                                                 bmargin(5 -5 0 0)       
>                                                 position(3) ring(0)
>                                          )
>                                          graphregion(color(white) margin(r=5) lcolor(white) lalign(outside))     
>                                          ;
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.         graph export "$path\figure_SI52.pdf", as(pdf) replace
{txt}(file C:\Users\scharpf\Dropbox\ArgentinaWorldCup\replication\replicationfiles\figure_SI52.pdf written in PDF format)

{com}. 
.         *Restoring data
.         restore 
{txt}
{com}.         
.         
.         
.         ****************************************************************************
.         *Figure SI.7.2: Changes in repression before and during the Africa Cup
.         ****************************************************************************                            
.         
.         *Preserving data
.         preserve                
{txt}
{com}.         
.         *Loading data
.         use "$path\figure_11_SI71_data.dta", clear
{txt}(V-Dem-CY-Core)

{com}.         
.         *Generating mean repression score: Full time period
.         bys fullwin_event_africacup (year): egen repmean_event_africacup = mean(hr_mean) if fullwin_event_africacup!=.
{txt}(12117 missing values generated)

{com}.         
.         *Generating mean repression score: Cold War and Post-Cold War period
.         bys fullwin_event_africacup (year): egen repmean_event_africacup_cw = mean(hr_mean) if event_africacup_cw==1
{txt}(12177 missing values generated)

{com}.         bys fullwin_event_africacup (year): egen repmean_event_africacup_postcw = mean(hr_mean) if event_africacup_postcw==1    
{txt}(12243 missing values generated)

{com}.                         
.         *Sorting data
.         sort fullwin_event_africacup year       
{txt}
{com}.                 
.         *Panel 1: 1945-2020     
.         #delimit ;              
{txt}delimiter now ;
{com}.         twoway (connected repmean_event_africacup fullwin_event_africacup if fullwin_event_africacup<=0
>                         ,
>                         msize(*1.2)
>                         mcolor(black) lcolor(black) mlwidth(0))         
>                                         ,
>                                         ysize(1.2)
>                                         xsize(1) 
>                                         yscale(range(.4 .9) noextend titlegap(*+5))
>                                         xscale(range(-4.25 0.25) noextend titlegap(*+10)) 
>                                         ylabel(.4(.1).9, 
>                                                         nogrid labsize(*.9) angle(0)
>                                         )
>                                         xlabel(-4(1)0,
>                                                         labsize(*.9)
>                                         )
>                                         xticks(,tlength(*1))
>                                         xline(0, lcolor(gs15) lwidth(*20))
>                                         ytitle("Mean repression", size(*1.2))
>                                         xtitle("Year", size(*1.2) color(white))
>                                         subtitle("1945-2020", size(*.8) box bexpand margin(t=1.25) fcolor(gs14) lcolor(black) lalign(center))                                   
>                                         legend(off)                                                     
>                                         graphregion(color(white) lcolor(white) lalign(outside)) 
>                                         name(africacup_fullp, replace)                                  
>                                         ;
{res}{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}.         
.         
.         *Panel 2: 1945-1990     
.         #delimit ;              
{txt}delimiter now ;
{com}.         twoway (connected repmean_event_africacup_cw fullwin_event_africacup if fullwin_event_africacup<=0 & event_africacup_cw==1
>                         ,
>                         msize(*1.2)
>                         mcolor(black) lcolor(black) mlwidth(0))         
>                                         ,
>                                         ysize(1)
>                                         xsize(1.1) 
>                                         yscale(range(.4 .9) noextend titlegap(*+5))
>                                         xscale(range(-4.25 0.25) noextend titlegap(*+10)) 
>                                         ylabel(.4(.1).9, 
>                                                         nogrid labsize(*.9) angle(0)
>                                         )
>                                         xlabel(-4(1)0,
>                                                         labsize(*.9)
>                                         )
>                                         xticks(,tlength(*1))
>                                         xline(0, lcolor(gs15) lwidth(*20))
>                                         ytitle("Mean repression", size(*1.2) color(white))
>                                         xtitle("Year", size(*1.2))
>                                         legend(off)     
>                                         subtitle("1945-1990", size(*.8) box bexpand margin(t=1.25) fcolor(gs14) lcolor(black) lalign(center))                                   
>                                         graphregion(color(white) lcolor(white) lalign(outside))                         
>                                         name(africacup_cw, replace)                                                     
>                                         ;
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.         
. 
.         sort fullwin_event_all year     
{txt}
{com}.         
.         *Panel 3: 1991-2020
.         #delimit ;              
{txt}delimiter now ;
{com}.         twoway (connected repmean_event_africacup_postcw fullwin_event_africacup if fullwin_event_africacup<=0 & event_africacup_postcw==1
>                         ,
>                         msize(*1.2)
>                         mcolor(black) lcolor(black) mlwidth(0))                                         
>                                         ,
>                                         ysize(1.2)
>                                         xsize(1) 
>                                         yscale(range(.4 .9) noextend titlegap(*+5))
>                                         xscale(range(-4.25 0.25) noextend titlegap(*+10)) 
>                                         ylabel(.4(.1).9, 
>                                                         nogrid labsize(*.9) angle(0)
>                                         )
>                                         xlabel(-4(1)0,
>                                                         labsize(*.9)
>                                         )
>                                         xticks(,tlength(*1))
>                                         xline(0, lcolor(gs15) lwidth(*20))
>                                         ytitle("Mean repression", size(*1.2) color(white))
>                                         xtitle("Year", size(*1.2) color(white))
>                                         legend(off)     
>                                         subtitle("1991-2020", size(*.8) box bexpand margin(t=1.25) fcolor(gs14) lcolor(black) lalign(center))                                           
>                                         graphregion(color(white) lcolor(white) lalign(outside))                         
>                                         name(africacup_postcw, replace)                                                 
>                                         ;
{res}{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}.         
.         *Plotting Figure SI.7.1.
.         #delimit ;      
{txt}delimiter now ;
{com}.         graph combine africacup_fullp africacup_cw africacup_postcw
>                   ,
>                   row(1)
>                   iscale(*1.4)
>                   ysize(1)
>                   xsize(1.75)
>                   graphregion(color(white) lcolor(white) lalign(outside))       
>                   ;
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.         graph export "$path\figure_SI71.pdf", as(pdf) replace   
{txt}(file C:\Users\scharpf\Dropbox\ArgentinaWorldCup\replication\replicationfiles\figure_SI71.pdf written in PDF format)

{com}. 
. 
.         *Restoring data
.         restore         
{txt}
{com}.                 
.                 
.         
. ********************************************************************************        
. *       
. ********************************************************************************                
.         
.         *Closing graph windows
.         graph close _all 
{txt}
{com}.         
.         *Clearing data
.         clear all
{res}{txt}
{com}.         
.         *End recording log file
.         log close       
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\scharpf\Dropbox\ArgentinaWorldCup\replication\replicationfiles\ScharpfGlaesselEdwards_APSR.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}29 Jun 2022, 10:56:20
{txt}{.-}
{smcl}
{txt}{sf}{ul off}